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» Discovering Interesting Subsets Using Statistical Analysis
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ICIP
2004
IEEE
14 years 11 months ago
Discovering meaningful multimedia patterns with audio-visual concepts and associated text
The work presents the first effort to automatically annotate the semantic meanings of temporal video patterns obtained through unsupervised discovery processes. This problem is in...
Lexing Xie, Lyndon S. Kennedy, Shih-Fu Chang, Ajay...
ICPPW
2002
IEEE
14 years 2 months ago
A Statistical Approach for the Analysis of the Relation Between Low-Level Performance Information, the Code, and the Environment
This paper presents a methodology for aiding a scientific programmer to evaluate the performance of parallel programs on advanced architectures. It applies well-defined design o...
Nayda G. Santiago, Diane T. Rover, Domingo Rodr&ia...
ICIP
2006
IEEE
14 years 11 months ago
Foveated Analysis and Selection of Visual Fixations in Natural Scenes
The ability to automatically detect visually interesting regions in images has practical applications in the design of active machine vision systems. Analysis of the statistics of...
Umesh Rajashekar, Ian van der Linde, Alan C. Bovik...
ICMLA
2007
13 years 11 months ago
Soft Failure Detection Using Factorial Hidden Markov Models
In modern business, educational, and other settings, it is common to provide a digital network that interconnects hardware devices for shared access by the users (e.g., in an of...
Guillaume Bouchard, Jean-Marc Andreoli
POPL
2007
ACM
14 years 10 months ago
Preferential path profiling: compactly numbering interesting paths
Path profiles provide a more accurate characterization of a program's dynamic behavior than basic block or edge profiles, but are relatively more expensive to collect. This h...
Kapil Vaswani, Aditya V. Nori, Trishul M. Chilimbi