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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. -
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. -
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. -
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 -
Semantic Transform: Weakly Supervised Semantic Inference for Relating …
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2013-ICCV-Shankar-attrirbutes.pdf13 Mar 2018: Givena test image with its feature vector xt, its score for attributeam is given by ϕ(bTm, xt). ... Absolute Classification: This refers to the task of as-signing a test image to its correct class. -
Multiscale Categorical Object RecognitionUsing Contour Fragments…
mi.eng.cam.ac.uk/~cipolla/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). -
A Pose-Wise Linear Illumination Manifold Model for Face Recognition…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2007_CVIU_paper2.pdf13 Mar 2018: also see [27]). In AFR tests, such methods are usually outperformed by meth-. ... the data as test input. In all tests, both training data for each person in the gallery,.
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