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CVPR
2007
IEEE
16 years 8 months ago
Detecting Pedestrians by Learning Shapelet Features
In this paper, we address the problem of detecting pedestrians in still images. We introduce an algorithm for learning shapelet features, a set of mid?level features. These featur...
Payam Sabzmeydani, Greg Mori
ICPR
2008
IEEE
16 years 1 months ago
Learning visual dictionaries and decision lists for object recognition
Visual dictionaries are widely employed in object recognition to map unordered bags of local region descriptors into feature vectors for image classification. Most visual dictiona...
Wei Zhang, Thomas G. Dietterich
WMTE
2002
IEEE
15 years 11 months ago
To Unlock the Learning Value of Wireless Mobile Devices, Understand Coupling
Handheld computers will become an increasingly compelling choice of technology for K-12 classrooms because they will enable a transition from occasional, supplemental use to frequ...
Jeremy Roschelle, Charles Patton, Roy D. Pea
DAGM
2008
Springer
15 years 8 months ago
A Multiple Kernel Learning Approach to Joint Multi-class Object Detection
Most current methods for multi-class object classification and localization work as independent 1-vs-rest classifiers. They decide whether and where an object is visible in an imag...
Christoph H. Lampert, Matthew B. Blaschko
204
Voted
TIP
2010
188views more  TIP 2010»
15 years 5 months ago
On-line Learning of Mutually Orthogonal Subspaces for Face Recognition by Image Sets
—We address the problem of face recognition by matching image sets. Each set of face images is represented by a subspace (or linear manifold) and recognition is carried out by su...
Tae-Kyun Kim, Josef Kittler, Roberto Cipolla