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VLSISP
2010
254views more  VLSISP 2010»
13 years 5 months ago
Manifold Based Local Classifiers: Linear and Nonlinear Approaches
Abstract In case of insufficient data samples in highdimensional classification problems, sparse scatters of samples tend to have many ‘holes’—regions that have few or no nea...
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill ...
CVPR
2009
IEEE
15 years 2 months ago
Reducing JointBoost-Based Multiclass Classification to Proximity Search
Boosted one-versus-all (OVA) classifiers are commonly used in multiclass problems, such as generic object recognition, biometrics-based identification, or gesture recognition. Join...
Alexandra Stefan (University of Texas at Arlington...
TKDE
2008
123views more  TKDE 2008»
13 years 7 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
ICIP
2007
IEEE
14 years 1 months ago
Orthogonal Diagonal Projections for Gait Recognition
Gait has received much attention from researchers in the vision field due to its utility in walker identification. One of the key issues in gait recognition is how to extract di...
Daoliang Tan, Kaiqi Huang, Shiqi Yu, Tieniu Tan
ECCV
2010
Springer
13 years 11 months ago
Discriminative Mixture-of-Templates for Viewpoint Classification
Abstract. Object viewpoint classification aims at predicting an approximate 3D pose of objects in a scene and is receiving increasing attention. State-of-the-art approaches to view...