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» Interval discriminant analysis using support vector machines
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AVSS
2006
IEEE
15 years 5 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
ECCV
2010
Springer
15 years 2 months ago
Towards Computational Models of Visual Aesthetic Appeal of Consumer Videos
In this paper, we tackle the problem of characterizing the aesthetic appeal of consumer videos and automatically classifying them into high or low aesthetic appeal. First, we condu...
ICASSP
2008
IEEE
15 years 8 months ago
Detecting mild cognitive loss with continuous monitoring of medication adherence
This paper describes an approach for detecting early cognitive loss using medication adherence behavior. We investigate the discriminative power of a comprehensive set of recurren...
Yonghong Huang, Deniz Erdogmus, Zhengdong Lu, Todd...
ICASSP
2011
IEEE
14 years 5 months ago
Audio recognition in the wild: Static and dynamic classification on a real-world database of animal vocalizations
We present a study on purely data-based recognition of animal sounds, performing evaluation on a real-world database obtained from the Humboldt-University Animal Sound Archive. As...
Felix Weninger, Björn Schuller
ICASSP
2008
IEEE
15 years 8 months ago
Action recognition using spatio-temporal regularity based features
In this paper, a novel feature for capturing information in a spatio-temporal volume based on regularity flow is presented for action recognition. The regularity flow describes ...
Taylor Goodhart, Pingkun Yan, Mubarak Shah