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» Learning with Transformation Invariant Kernels
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CVIU
2006
171views more  CVIU 2006»
13 years 8 months ago
Free viewpoint action recognition using motion history volumes
Action recognition is an important and challenging topic in computer vision, with many important applications including video surveillance, automated cinematography and understand...
Daniel Weinland, Rémi Ronfard, Edmond Boyer
CVPR
2012
IEEE
11 years 10 months ago
Discrete texture traces: Topological representation of geometric context
Modeling representations of image patches that are quasi-invariant to spatial deformations is an important problem in computer vision. In this paper, we propose a novel concept, t...
Jan Ernst, Maneesh Kumar Singh, Visvanathan Ramesh
ICCV
2011
IEEE
12 years 8 months ago
The Power of Comparative Reasoning
Rank correlation measures are known for their resilience to perturbations in numeric values and are widely used in many evaluation metrics. Such ordinal measures have rarely been ...
Jay Yagnik, Dennis Strelow, David Ross, Ruei-sung ...
ICIAR
2010
Springer
14 years 1 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
IEEEICCI
2007
IEEE
14 years 2 months ago
An Image Association Model of the Brodmann Areas
The ability to associate images is the basis for learning relationships involving vision, hearing, tactile sensation, and kinetic motion. A new architecture is described that has ...
Douglas S. Greer