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» Feature selection in a kernel space
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SIGIR
2008
ACM
13 years 7 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
ICIP
2009
IEEE
14 years 8 months ago
Using Sparse Regression To Learn Effective Projections For Face Recognition
We explore sparse regression for effective feature selection and classification in face identity and expression recognition. We argue that sparse regression in pixel space is inap...
ICONIP
2008
13 years 9 months ago
A Vector Quantization Approach for Life-Long Learning of Categories
We present a category learning vector quantization (cLVQ) approach for incremental and life-long learning of multiple visual categories where we focus on approaching the stability-...
Stephan Kirstein, Heiko Wersing, Horst-Michael Gro...
ICCV
2009
IEEE
15 years 18 days ago
Keyframe-Based Real-Time Camera Tracking
We present a novel keyframe selection and recognition method for robust markerless real-time camera tracking. Our system contains an ofine module to select features from a grou...
Zilong Dong, Guofeng Zhang, Jiaya Jia, Hujun Bao
NIPS
2007
13 years 9 months ago
Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Generalized linear models are the most commonly used tools to describe the stimulus selectivity of sensory neurons. Here we present a Bayesian treatment of such models. Using the ...
Sebastian Gerwinn, Jakob Macke, Matthias Seeger, M...