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» An ICA algorithm for analyzing multiple data sets
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CVPR
2012
IEEE
11 years 10 months ago
An online learned CRF model for multi-target tracking
We introduce an online learning approach for multitarget tracking. Detection responses are gradually associated into tracklets in multiple levels to produce final tracks. Unlike ...
Bo Yang, Ram Nevatia
PVLDB
2008
146views more  PVLDB 2008»
13 years 7 months ago
Efficient search for the top-k probable nearest neighbors in uncertain databases
Uncertainty pervades many domains in our lives. Current real-life applications, e.g., location tracking using GPS devices or cell phones, multimedia feature extraction, and sensor...
George Beskales, Mohamed A. Soliman, Ihab F. Ilyas
IJCV
2006
206views more  IJCV 2006»
13 years 8 months ago
Random Sampling for Subspace Face Recognition
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
Xiaogang Wang, Xiaoou Tang
IJCNN
2006
IEEE
14 years 2 months ago
Divide and Conquer Strategies for MLP Training
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...
Smriti Bhagat, Dipti Deodhare
ICCAD
2006
IEEE
96views Hardware» more  ICCAD 2006»
14 years 5 months ago
Loop pipelining for high-throughput stream computation using self-timed rings
We present a technique for increasing the throughput of stream processing architectures by removing the bottlenecks caused by loop structures. We implement loops as self-timed pip...
Gennette Gill, John Hansen, Montek Singh