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» A Topological Approach to Recognition
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CVPR
2005
IEEE
16 years 8 months ago
Object Class Recognition Using Multiple Layer Boosting with Heterogeneous Features
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
Wei Zhang 0002, Bing Yu, Gregory J. Zelinsky, Dimi...
ICPR
2004
IEEE
16 years 7 months ago
Rehashing for Bayesian Geometric Hashing
Geometric hashing is a model-based recognition technique based on matching of transformation-invariant object representations stored in a hash table. In the last decade a number o...
Ehud Rivlin, Ilya Blayvas, Michael Lifshits, Micha...
ICPR
2010
IEEE
16 years 1 months ago
Partial Face Biometry Using Shape Decomposition on 2D Conformal Maps of Faces
In this paper, we introduce a new approach for partial 3D face recognition, which makes use of shape decomposition over the rigid1 part of a face. To explore the descriptiveness o...
Przemyslaw Szeptycki, Mohsen Ardabilian, Liming Ch...
149
Voted
ICASSP
2008
IEEE
16 years 1 months ago
Combination of strongly and weakly constrained recognizers for reliable detection of OOVS
This paper addresses the detection of OOV segments in the output of large vocabulary continuous speech recognition (LVCSR) system. First, standard confidence measures based on fr...
Lukas Burget, Petr Schwarz, Pavel Matejka, Mirko H...
182
Voted
ICASSP
2009
IEEE
15 years 10 months ago
Graphical Models: Statistical inference vs. determination
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out tha...
Joachim Schenk, Benedikt Hörnler, Artur Braun...