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NIPS
2004
15 years 5 months ago
Using Machine Learning to Break Visual Human Interaction Proofs (HIPs)
Machine learning is often used to automatically solve human tasks. In this paper, we look for tasks where machine learning algorithms are not as good as humans with the hope of ga...
Kumar Chellapilla, Patrice Y. Simard
NIPS
2004
15 years 5 months ago
Learning Hyper-Features for Visual Identification
We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
NIPS
2004
15 years 5 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
CASCON
1996
96views Education» more  CASCON 1996»
15 years 5 months ago
Real-time complexity metric tools for visualAge smalltalk and C++
"Anything that one cannot measure cannot be controlled." Software metrics provide insight into the quality of software, informing the developers about the status of a pr...
Subroto Bhattacharya, Stephen G. Graham
IJCAI
1989
15 years 5 months ago
A Homogeneous Framework for Visual Recognition
A homogeneous paradigm for evidence integration is presented, and a vision system to recognize 3D objects is demonstrated using this paradigm. A new concept called generalizedfeat...
Rick Kjeldsen, Ruud M. Bolle, Andrea Califano, Rus...