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» Learning Models for Object Recognition
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CISS
2007
IEEE
15 years 4 months ago
On Capacity of Automatic Target Recognition Systems Under the Constraint of PCA-Encoding
Limiting capabilities of practical recognition systems are determined by a variety of factors that include source encoding techniques, quality of images, complexity of underlying ...
Xiaohan Chen, Natalia A. Schmid
MCS
2001
Springer
15 years 2 months ago
On Combining Dissimilarity Representations
For learning purposes, representations of real world objects can be built by using the concept of dissimilarity (distance). In such a case, an object is characterized in a relative...
Elzbieta Pekalska, Robert P. W. Duin
ICCV
2009
IEEE
1824views Computer Vision» more  ICCV 2009»
16 years 3 months ago
Beyond the Euclidean distance: Creating effective visual codebooks using the histogram intersection kernel
Common visual codebook generation methods used in a Bag of Visual words model, e.g. k-means or Gaussian Mixture Model, use the Euclidean distance to cluster features into visual...
Jianxin Wu, James M. Rehg
118
Voted
CVPR
2012
IEEE
13 years 16 days ago
Multi-view latent variable discriminative models for action recognition
Many human action recognition tasks involve data that can be factorized into multiple views such as body postures and hand shapes. These views often interact with each other over ...
Yale Song, Louis-Philippe Morency, Randall Davis
114
Voted
CVIU
2007
193views more  CVIU 2007»
14 years 10 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba