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NIPS
2004
15 years 2 months ago
Co-Training and Expansion: Towards Bridging Theory and Practice
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
Maria-Florina Balcan, Avrim Blum, Ke Yang
CVPR
2007
IEEE
16 years 3 months ago
A Probabilistic Intensity Similarity Measure based on Noise Distributions
We derive a probabilistic similarity measure between two observed image intensities that is based on the noise properties of the camera. In many vision algorithms, the effect of c...
Yasuyuki Matsushita, Stephen Lin
AVSS
2009
IEEE
15 years 8 months ago
Trajectory Association and Fusion across Partially Overlapping Cameras
We present a novel unsupervised inter-camera trajectory correspondence algorithm that does not require prior knowledge of the camera placement. The approach consists of three step...
Nadeem Anjum, Andrea Cavallaro
ICASSP
2008
IEEE
15 years 7 months ago
3D facial expression recognition using swarm intelligence
In this paper, we present a novel approach for 3D facial expression recognition which is inspired by the advances of ant colony and particle swarm optimization (ACO and PSO respec...
Iordanis Mpiperis, Sotiris Malassiotis, Vassilios ...
IEEESCC
2009
IEEE
14 years 11 months ago
Theoretical Framework for Eliminating Redundancy in Workflows
In this paper we look at combining and compressing a set of workflows, such that computation can be minimized. In this context, we look at two novel theoretical problems with appl...
Dhrubajyoti Saha, Abhishek Samanta, Smruti R. Sara...