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ICCV
2009
IEEE
14 years 10 months ago
Is that you? Metric Learning Approaches for Face Identification
Face identification is the problem of determining whether two face images depict the same person or not. This is difficult due to variations in scale, pose, lighting, background...
Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmi...
ACCV
2010
Springer
13 years 24 days ago
Face Recognition with Decision Tree-Based Local Binary Patterns
Many state-of-the-art face recognition algorithms use image descriptors based on features known as Local Binary Patterns (LBPs). While many variations of LBP exist, so far none of ...
Daniel Maturana, Domingo Mery, Alvaro Soto
CLA
2007
13 years 7 months ago
Concept Analysis on Structured, Multi-valued and Incomplete Data
This paper presents an approach to Concept Analysis of structured, multivalued and incomplete data currently present in life science knowledge bases. We are concerned with tree str...
David Grosser, Henri Ralambondrainy
TIP
2010
155views more  TIP 2010»
13 years 4 months ago
Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...
Xiaofei He
ISCAS
2008
IEEE
145views Hardware» more  ISCAS 2008»
14 years 5 days ago
Group learning using contrast NMF : Application to functional and structural MRI of schizophrenia
— Non-negative Matrix factorization (NMF) has increasingly been used as a tool in signal processing in the last couple of years. NMF, like independent component analysis (ICA) is...
Vamsi K. Potluru, Vince D. Calhoun