Search
Search Funnelback University
101 -
150 of
204
search results for Economics middle test |u:mi.eng.cam.ac.uk
where 2
match all words and 202
match some words.
Results that match 2 of 3 words
-
Stochastic Language Generation in Dialogueusing Factored Language…
mi.eng.cam.ac.uk/~sjy/papers/mayo14.pdf20 Feb 2018: occur simultaneously in the training and test partitions. In contrast, in our evaluation. -
Discriminative Learning and Recognitionof Image Set Classes Using…
mi.eng.cam.ac.uk/~cipolla/publications/article/2007-PAMI-face-sets.pdf13 Mar 2018: We used 18 randomlyselected training/test combinations of the sequences forreporting identification rates. ... The test recognition rates changed byless than 1 percent for all of the different trials of randompartitioning. -
Segmentation and Recognition using Structurefrom Motion Point Clouds…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-ECCV-video-segmentation.pdf13 Mar 2018: The results are shown in the top row of Table 1 and the middle row of Fig. ... Fromtop to bottom: test image, ground truth, motion and structure inferred segmentation,and appearance inferred segmentation. -
Spatio-Temporal Clustering of Probabilistic Region Trajectories Fabio …
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2011-ICCV-Galasso-ST.pdf13 Mar 2018: Middle) The clusters of region trajectories computed with our algorithm are represented with differentshaded colours (some colours may be repeated). ... 1. To limit the computational load we con-sider the first 100 frames only.Our main purpose is to test -
TPAMI-0554-0706-2 1..14
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007-PAMI-Kim.pdf13 Mar 2018: We used 18 randomlyselected training/test combinations of the sequences forreporting identification rates. ... The test recognition rates changed byless than 1 percent for all of the different trials of randompartitioning. -
1 SegNet: A Deep ConvolutionalEncoder-Decoder Architecture for Scene…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-PAMI-SegNet.pdf13 Mar 2018: 2. Fig. 1. SegNet predictions on urban and highway scene test samples from the wild. ... 1). Some example test resultsproduced on randomly sampled road scene images from Googleare shown in Fig. -
Who Left the Dogs Out?3D Animal Reconstruction with Expectation ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf28 Jun 2021: 3. We use easily obtained 2D annotations in training, and none at test time. ... or rely heavily on input 2Dkeypoints or video at test-time [31, 28]. -
maneval_hvd_new.eps
mi.eng.cam.ac.uk/~mjfg/thesis_xc257.pdf9 May 2017: using 793K vocabulary. The train is run on GPU and test is on CPU. ... 126. 8.6 Out of Vocabulary (OOV) % for AMI and TTM test data. -
A Low-Cost Robotic System for the Efficient Visual Inspection ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2015-ISARC-tunnel-inspection.pdf13 Mar 2018: Figure 7. Sample of sparse reconstruction output. Top: a long reconstructed section; middle: close-. ... detection system and test it more extensively, comparing. the inspection performance between manual, fully-. -
cipollaVSMM2004.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2004-VSMM-localisation.pdf13 Mar 2018: Figure 1. A building façade (left), the edgels output from Canny (middle) and the resulting straightline-segments (right). ... 5 EvaluationTo test this system, a database was constructed from photographs of all the buildings in the main shoppingstreet -
LNCS 8694 - Part Bricolage: Flow-Assisted Part-Based Graphs for…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2014-ECCV-Shankar.pdf13 Mar 2018: The class that exhibits the maximum frequency in the histogram is as-signed to the test video. ... The train/test split is around 50% and the videos arechosen as specified in [17]. -
Ultrasound compounding withautomatic attenuation compensation using…
mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr558.pdf22 Jun 2006: The phantom included spheres of 1.5 cm, 1.0 cm and 0.5 cm diameter, in order to test theresolution of the algorithms. ... For this reason, it is not possible to use Field simulations created in thisway to test the frequency-based methods of attenuation -
Efficiently Combining Contour and TextureCues for Object Recognition…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-BMVC-Shotton.pdf13 Mar 2018: 1.0} (1), and =0.07. |S |= 6 test scales were chosen automatically to cover the scale range in the trainingdata. ... Left: categorization performance. Middle: detectionperformance, with comparison to Opelt et al. -
Multiscale Categorical Object RecognitionUsing Contour Fragments…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-PAMI-contour-recognition.pdf13 Mar 2018: 9. Adding more parts helps performance on the test data up to a. ... effect on the RP EER (up to 100N percent for N test images). -
Discriminative Learning and Recognitionof Image Set Classes Using…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007-PAMI-face-sets.pdf13 Mar 2018: We used 18 randomlyselected training/test combinations of the sequences forreporting identification rates. ... The test recognition rates changed byless than 1 percent for all of the different trials of randompartitioning. -
Expressive Visual Text-To-Speech Using Active Appearance Models…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2013-CVPR-Talking-Head-copy.pdf13 Mar 2018: avoid bias), resulting in a total of 600 pairwise compar-isons per preference test. ... Scores shown as percentages of all votes for: (left) all emotions, (middle)neutral, and (right) angry. -
Expressive Visual Text-to-Speech Using Active Appearance Models
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2013-CVPR-Talking-Head.pdf13 Mar 2018: avoid bias), resulting in a total of 600 pairwise compar-isons per preference test. ... Scores shown as percentages of all votes for: (left) all emotions, (middle)neutral, and (right) angry. -
Produced By Springer 0411
mi.eng.cam.ac.uk/~cipolla/archive/Publications/contributionToEditedBook/2012-ICVSS-Kim.pdf13 Mar 2018: The imageswere randomlyandequallypartitioned intoa trainanda test set.Thetrainsetof161imageshad323frontalfacesand192profilefaces and the test set had 271 frontal and 171 profile faces. ... 184 T.-K. Kim and R. Cipolla. Fig. 17 Example tracking results on -
IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-PAMI-contour-recognition-report.pdf13 Mar 2018: As closely as pos-sible, we use the same training and test sets. ... We test each class individually, pairedwith an equal number of background test images. -
Segmentation and Recognition using Structurefrom Motion Point Clouds…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-ECCV-video-segmentation.pdf13 Mar 2018: The results are shown in the top row of Table 1 and the middle row of Fig. ... Fromtop to bottom: test image, ground truth, motion and structure inferred segmentation,and appearance inferred segmentation. -
Multiview Photometric Stereo Carlos Hernández, Member, IEEE,George…
mi.eng.cam.ac.uk/~cipolla/publications/article/2008-PAMI-photometric-stereo.pdf13 Mar 2018: because highlights are very strong and localized, so just a simplesensor saturation test is enough to find them, i.e., highlight 254. ... The next experiment was designed to test thisimprovement by performing a light estimation over K imageswhere the -
SegNet: A Deep Convolutional Encoder-DecoderArchitecture for Image…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2017-PAMI-SegNet.pdf11 Sep 2019: How-ever, these are not feed-forward at test time and requireoptimization to determine the MAP labels. ... We report all the threemeasures of performance at this point on the held-out Cam-Vid test set. -
Unsupervised Bayesian Detection of Independent Motion in Crowds…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-CVPR-Brostow-motionincrowds.pdf13 Mar 2018: Our work can be seen as a type of middle ground be-tween the domains of motion segmentation and multi-bodyfactorization. ... These would in turn preventthe “spawning” of new entity hypotheses in the middle ofthe scene. -
Expressive Visual Text-To-Speech Using Active Appearance Models…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2013-CVPR-Talking-Head-copy.pdf13 Mar 2018: avoid bias), resulting in a total of 600 pairwise compar-isons per preference test. ... Scores shown as percentages of all votes for: (left) all emotions, (middle)neutral, and (right) angry. -
An Illumination Invariant Face Recognition System forAccess Control…
mi.eng.cam.ac.uk/reports/svr-ftp/oa214_BMVC_2004_paper1.pdf8 Aug 2005: We performed 25 recognition tests, using each database for training and testing it against all the others.For each person in a database we collected a data set consisting of ... 10] B. Kepenekci. Face Recognition Using Gabor Wavelet Transform.PhD thesis, -
PhD Thesis
mi.eng.cam.ac.uk/~mjfg/thesis_kcs23.pdf16 Nov 2007: 8.1.1 Training and Test Corpora 102. 8.1.2 System configurations 103. 8.2 Initial Experiments 106. ... ments. A summary of the history of NIST’s benchmark tests are given in [91]. -
Named Entity Recognition from Speechand Its Use in the ...
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_thesis.pdf9 Aug 2005: cast News Benchmark Test Evaluation, the general procedures used are described and previous. ... Test Evaluation, four sites (BBN, MITRE, SPRACH and SRI) participated and submitted their. -
Efficiently Combining Contour and TextureCues for Object Recognition…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-BMVC-Shotton.pdf13 Mar 2018: 1.0} (1), and =0.07. |S |= 6 test scales were chosen automatically to cover the scale range in the trainingdata. ... Left: categorization performance. Middle: detectionperformance, with comparison to Opelt et al. -
Creatures great and SMAL: Recovering theshape and motion of ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2018-ACCV-3D-animal-shape.pdf12 Aug 2019: Average 62.8 64.4 69.5. Table 1: Accuracy of OJA onBADJA test sequences. ... Middle: Themodel has never seen an elephant, so assumes the trunk is the tail. -
Bitext Alignment forStatistical Machine Translation Yonggang Deng A…
mi.eng.cam.ac.uk/~wjb31/ppubs/YDengDissertationDec05.pdf16 Feb 2008: exponential of the cross entropy of the language model on the test set. ... using the posterior distribution with the goal of improving phrase coverage on test. -
Video Normals from Colored LightsGabriel J. Brostow, Member, IEEE, ...
mi.eng.cam.ac.uk/~cipolla/publications/article/2011-PAMI-Video-normals.pdf13 Mar 2018: Our test-frames, code for evaluating them, and per-frame scores areonline, with the aim of encouraging more meaningfulalgorithm comparisons, when possible. ... 7.2 Qualitative Tests of Cloth and Face. For the third experiment shown here, a model wearing -
A Gaussian Mixture Model Spectral Representation for Speech…
mi.eng.cam.ac.uk/~mjfg/thesis_mns25.pdf16 Nov 2007: representation 103. 6.5 Synchronous stream system with confidence weighting 107. 6.6 Results using GMM features on WSJ corpus and CSRNAB hub 1 test set 108. ... diagonal transforms 127. 8.4 Experiments using constrained MLLR transforms for WSJ test -
bmvc08.dvi
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2008-BMVC-gesture-interface.pdf13 Mar 2018: This is illustrated in Fig.2, showing examplesof image regions around thehand taken from the test sequences. ... Exampleframes where transitions occur areshown below (first and third pair from NCC to CM due to motion blur, middle pair from CM to NCCvia -
williams2006IEEE.dvi
mi.eng.cam.ac.uk/~sjy/papers/wiyo07b.pdf20 Feb 2018: recognition error, because sometimes people change their ob-jective in the middle of a conversation. ... The corpuswas segmented into a “training sub-corpus” and a “test sub-corpus,” which are each composed of an equal number ofdialogs, the same -
/home/blue7/jjjb2/2009-03-02_ZH-EN/results/HMMcomp.f2e.ps
mi.eng.cam.ac.uk/~wjb31/ppubs/jbrunningthesis.pdf20 Oct 2010: 106. 7.6 Variation of posterior log probability of the correct alignment and AER ontraining and test data sets as training progresses, for Arabic to English. ... 107. 7.7 Variation of posterior log probability of the correct alignment and AER ontraining -
A Single-Lobe Photometric Stereo Approach for Heterogeneous Material…
mi.eng.cam.ac.uk/~cipolla/publications/article/2016-SIAM-Mecca.pdf13 Mar 2018: Copyright by SIAM. Unauthorized reproduction of this article is prohibited. SIAM J. IMAGING SCIENCES c 2016 Society for Industrial and Applied MathematicsVol. 9, No. 4, pp. 1858–1888. A Single-Lobe Photometric Stereo Approach for Heterogeneous -
Generation and Combination ofComplementary Systems for Automatic…
mi.eng.cam.ac.uk/~mjfg/thesis_cb404.pdf9 Jul 2008: 97. 8.2 Singlepass BN Mandarin baseline CER (%) results on the bnmdev06 test set. ... Threshold loss function with β = 0.25 on the dev03 andeval98 test sets. -
newsletter.indd
mi.eng.cam.ac.uk/~cipolla/archive/Public-Understanding/2005-Insight-Tracking-Crowds.pdf7 Nov 2014: The drug is now considered a vital treatment for these women who are identifi ed on the basis of a pharmacogenetic test. ... Should pharmacogenetic tests be available over the counter or only in doctors’ surgeries? -
HYBRID SYSTEMS FORRECONSTRUCTION OF FREEHAND 3D ULTRASOUND DATA R. ...
mi.eng.cam.ac.uk/reports/svr-ftp/housden_tr574.pdf30 Mar 2007: We also recorded one additional scan of a speckle phantom, which was intendedto be more of a stress test for the reconstruction algorithms. -
Joint Training Methods for Tandem and Hybrid Speech Recognition…
mi.eng.cam.ac.uk/~cz277/doc/Thesis-PhD.pdf11 Jul 2017: 121. 5.7 TED CD-DNN-HMM system 4-gram LM WERs on Dev2010, Tst2010,and Tst2011 test sets. ... Unsupervised test time adaptation experimentshave been conducted with hybrid, tandem, and stacked hybrid systems. -
BUDVYTIS et al.: LABEL PROPAGATION 1 Label propagation in ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2010-BMVC-label-propagation.pdf13 Mar 2018: Table 1:Quantitative test results withµ = 0.25. Note the high accuracies for PHM for Seq. ... Ex-tensive quantitative tests indicate the efficacy of our approach over generative propagationalone. -
Semi-calibrated Near Field Photometric Stereo Fotios Logothetis1,…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2017-CVPR-near-field-photometric.pdf13 Mar 2018: Secondly, in order to test the reliability ofour approach, we considered synthetic data generated withthe Cook and Torrance reflection model [12]. ... Figure 5. Darkest (Left) and brightest (middle) samples of our realdatasets and the computed albedos -
Multiview Photometric Stereo Carlos Hernández, Member, IEEE,George…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2008-PAMI-photometric-stereo.pdf13 Mar 2018: because highlights are very strong and localized, so just a simplesensor saturation test is enough to find them, i.e., highlight 254. ... The next experiment was designed to test thisimprovement by performing a light estimation over K imageswhere the -
An Illumination Invariant Face Recognition System forAccess Control…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2004-BMVC-Arandjelovic-invariant.pdf13 Mar 2018: We performed 25 recognition tests, using each database for training and testing it against all the others.For each person in a database we collected a data set consisting of ... 10] B. Kepenekci. Face Recognition Using Gabor Wavelet Transform.PhD thesis, -
Fast surface and volume estimationfrom non-parallel cross-sections,…
mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr326.pdf20 Dec 1999: 13. 2 Systems and tools 152.1 Freehand 3-D ultrasound system. 152.2 Generation of test objects. ... Figure 3: Mathematically generated test objects. The rendered surfaces were recon-structed from approximately 80 parallel scans. -
Learning to Track with Multiple Observers Björn StengerComputer…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-CVPR-hand-trackerpdf.pdf28 Jul 2009: The running of tests consisting of all possible combina-tions of all trackers on all test sequences would take a pro-hibitive amount of time to complete. ... In order to test the validity of such a setup, weperformed tests using the complete tracking -
A Single-Lobe Photometric Stereo Approach for Heterogeneous Material…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2016-SIAM-Mecca.pdf13 Mar 2018: Copyright by SIAM. Unauthorized reproduction of this article is prohibited. SIAM J. IMAGING SCIENCES c 2016 Society for Industrial and Applied MathematicsVol. 9, No. 4, pp. 1858–1888. A Single-Lobe Photometric Stereo Approach for Heterogeneous -
Video Normals from Colored LightsGabriel J. Brostow, Member, IEEE, ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2011-PAMI-Video-normals.pdf13 Mar 2018: Our test-frames, code for evaluating them, and per-frame scores areonline, with the aim of encouraging more meaningfulalgorithm comparisons, when possible. ... 7.2 Qualitative Tests of Cloth and Face. For the third experiment shown here, a model wearing -
Volume-based three-dimensionalmetamorphosis usingregion…
mi.eng.cam.ac.uk/reports/svr-ftp/treece_tr379.pdf26 Apr 2000: distance. This makes the complete test for distance initialisation as follows:. • If the voxel is not initialised, store the new distance and angle. • ... In all butthe most complex cases, both of these can be recalculated in real time, providing -
Real-time visual tracking of complex structures - Pattern Analysis…
mi.eng.cam.ac.uk/~cipolla/publications/article/2002-PAMI-tracking.pdf13 Mar 2018: 4.1.2 RobustnessAnother experiment was established to test robustness ofthe system to occlusion of an entire camera (see Fig. ... 4.2 Multiple and Articulated Structures. 4.2.1 Hinge. A system was developed to test the tracking of a simplearticulated
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.