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CVPR
2012
IEEE
12 years 23 days ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
SIGMETRICS
1995
ACM
144views Hardware» more  SIGMETRICS 1995»
13 years 11 months ago
On Characterizing Bandwidth Requirements of Parallel Applications
Synthesizing architectural requirements from an application viewpoint can help in making important architectural design decisions towards building large scale parallel machines. I...
Anand Sivasubramaniam, Aman Singla, Umakishore Ram...
CVPR
2009
IEEE
15 years 2 months ago
Tour the World: building a web-scale landmark recognition engine
Modeling and recognizing landmarks at world-scale is a useful yet challenging task. There exists no readily available list of worldwide landmarks. Obtaining reliable visual mode...
Yantao Zheng, Ming Zhao 0003, Yang Song, Hartwig A...
BMCBI
2010
125views more  BMCBI 2010»
13 years 7 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
ACII
2011
Springer
12 years 7 months ago
A Psychologically-Inspired Match-Score Fusion Model for Video-Based Facial Expression Recognition
Communication between humans is rich in complexity and is not limited to verbal signals; emotions are conveyed with gesture, pose and facial expression. Facial Emotion Recognition ...
Albert Cruz, Bir Bhanu, Songfan Yang