Search
Search Funnelback University
61 -
80 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
-
hci09.dvi
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-HCI-Stenger.pdf13 Mar 2018: Figure 2: Appearance variation of hand regions. Shown. are cropped hand regions from test sequences. ... pair from NCC to CM due to motion blur, middle pair from CM. -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2015-ICCV-relocalisation-arXiv.pdf13 Mar 2018: This noveldataset provides data to train and test pose regression algo-rithms in a large scale outdoor urban setting. ... Train and test im-ages are taken from distinct walking paths and not sampledfrom the same trajectory making the regression -
tr.dvi
mi.eng.cam.ac.uk/reports/svr-ftp/prager_tr436.pdf28 Jun 2002: 1000of an inch. apart. In the second recording, 100 slices were recorded 0.02 mm apart.After decompression, a patch of 147 119 pixels was extracted from the middle of. ... Determination of scan-plane motion using speckle decorrelation: theoretical -
Large scale labelled video data augmentation for semantic…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2017-ICCV-label-propagation.pdf13 Mar 2018: We obtained propagated labels for all the images in thetrain, test and validation datasets, however we use only thelabels in the training dataset in the experiments describedhere. ... or Hand labels. The graph on the right shows class accuracy and IoU -
Shadows in three-source photometric stereo Carlos Hernández1 George…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2008-ECCV-faces.pdf13 Mar 2018: 2 Hernández et al. test our hypothesis. Therefore the problem of detecting shadows becomes moredifficult. ... 3 top. Thenormalized images ci‖c‖ in the middle of Fig. 3 allow the algorithm to easily detect. -
Ghostscript wrapper for…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-CVPR-Kim-tensor.pdf13 Mar 2018: correlations chosen from the list is performed to categorize. a new test video. ... scenarios. Leave-one-out cross-validation was performed. to test the proposed method, i.e. -
Discrete neural representations for explainable anomaly detection…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-WACV-anomaly-detection.pdf13 Mar 2023: Anomaly detection metric. All test video frames from alldatasets are marked as either containing or not containing ananomaly. ... Middle column shows thesaliency maps produced by passing the input frame through theprediction network. -
thesis.dvi
mi.eng.cam.ac.uk/~wjb31/ppubs/VenkataramaniDiss05.pdf16 Feb 2008: the speech from the test speaker. These Speaker-Dependent (SD) models are usually. ... transforms the original lattice to a form (see Figure 3.1,middle) that contains. -
Int J Comput Vis (2012) 100:203–215DOI 10.1007/s11263-011-0461-z…
mi.eng.cam.ac.uk/~cipolla/publications/article/2012-IJCV-Shallow-trees.pdf13 Mar 2018: pression is minimised (middle). An optimal short tree is built on theminimum expression (right). ... 8(left) and Fig. 9(left). The six test sets werecreated by randomly perturbing the train sets. -
Model-Based 3D Tracking of an Articulated Hand B. Stenger ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2001-CVPR-Stenger-hand.pdf13 Mar 2018: Top and middle row: model pro-jected on images from camera 1 and 2, respectively. ... 4. Experimental Results. Real data experiments were designed to test the proposedtracking algorithm. -
Part IA Computing CourseTutorial Guide to C++ Programming Roberto ...
mi.eng.cam.ac.uk/~cipolla/resource/tutorial.pdf12 Apr 2022: 3) Write and test a program to calculate the area of a circle. ... test thecondition that the equations have a unique solution) and display the solution. -
TPAMI-0554-0706-2 1..14
mi.eng.cam.ac.uk/~cipolla/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. -
Deep Learning for Automatic Assessment and Feedback of Spoken English
mi.eng.cam.ac.uk/~mjfg/thesis_kk492.pdf17 Nov 2021: and evaluated on corresponding test sets. 1176.6 Expert human scores vs predictions by AttLSTM deep intonation grader,. ... middle) and LPINT (bottom) using posterior thresholding, repeated. using ASR output, manual transcription (MAN) and, the case of -
Spatio-Temporal Clustering of Probabilistic Region Trajectories Fabio …
mi.eng.cam.ac.uk/~cipolla/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 -
Domain-independent User Satisfaction Reward Estimation forDialogue…
mi.eng.cam.ac.uk/~sjy/papers/ubcm17.pdf20 Feb 2018: marks statistically sig-nificant difference between RT S and RIQ (p < 0.05, T-test). ... Figure 3: Moving TSR (left), moving AIQ (middle) and moving AUS (right) for using either TS, IQ, or US as reward averaged over twopolicies respectively, computed on -
Face Recognition from Video using the GenericShape-Illumination…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-ECCV-Arandjelovic-face.pdf13 Mar 2018: In AFR tests, such methods are usuallyoutperformed by methods from the third class: view-based techniques e.g. ... KLD) [38]. In all tests, both training data for each person in the gallery, as well as test data,consisted of only a single sequence. -
Improving Attention-based Sequence-to-sequence Models
mi.eng.cam.ac.uk/~mjfg/thesis_qd212.pdf5 Jul 2022: B.1.3 Neural Vocoder Pretraining. 160. B.2 Listening Tests. 163. List of figures. ... 162. B.2 Results of the listening tests comparing HRNN, HRNNFT100% andHRNNFT10%; Nick test set. -
Shape Context and Chamfer Matching in Cluttered Scenes A. ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2003-CVPR-Thayananthan-shape.pdf13 Mar 2018: Point correspondences betweentwo shapesare found by minimizing the point matchingcosts,which is the test statistic for histograms. ... 7. Figure 5: Results of hand localization. Left column: handlocalization usingshapecontext informationonly -
FootNet: An Efficient Convolutional Network forMultiview 3D Foot…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf28 Jun 2021: Table 3: Average length and width errors (mm) on real val/test data. ... Pool at test timePredicted segmentation Hand segmentationLength error Width error Length error Width error. -
Article Submitted to Computer Speech and Language Automatic…
mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/kim_csl04.pdf9 Aug 2005: This test data isnamed TestBNAcoustic98. TestBNAcoustic98 comprises 3 hours of acoustic data andthe transcription. ... Table 8 shows the result of the capitalisation generation system based on NE classes andpunctuation marks for these test conditions.
Search history
Recently clicked results
Recently clicked results
Your click history is empty.
Recent searches
Recent searches
Your search history is empty.