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» Evaluating algorithms that learn from data streams
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E2EMON
2006
IEEE
15 years 10 months ago
Implementation and evaluation of an inline network measurement algorithm and its application to TCP-based service
Abstract— In our previous studies, we proposed ImTCP, an inline network measurement technique that can obtain available bandwidth information of the network path between sender a...
Tomoaki Tsugawa, Go Hasegawa, Masayuki Murata
191
Voted
JMLR
2010
367views more  JMLR 2010»
14 years 11 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni
156
Voted
PVLDB
2010
111views more  PVLDB 2010»
14 years 11 months ago
Net-Fli: On-the-fly Compression, Archiving and Indexing of Streaming Network Traffic
The ever-increasing number of intrusions in public and commercial networks has created the need for high-speed archival solutions that continuously store streaming network data to...
Francesco Fusco, Marc Ph. Stoecklin, Michail Vlach...
146
Voted
ECCV
2004
Springer
15 years 10 months ago
Statistical Learning of Evaluation Function for ASM/AAM Image Alignment
Alignment between the input and target objects has great impact on the performance of image analysis and recognition system, such as those for medical image and face recognition. A...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
SIGKDD
2008
125views more  SIGKDD 2008»
15 years 4 months ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun