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IJON
2007
184views more  IJON 2007»
15 years 6 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
CVPR
2010
IEEE
16 years 2 months ago
Learning Full Pairwise Affinities for Spectral Segmentation
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
Tae Hoon Kim (Seoul National University), Kyoung M...
CORR
2010
Springer
156views Education» more  CORR 2010»
15 years 6 months ago
On the bias of BFS
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...
Maciej Kurant, Athina Markopoulou, Patrick Thiran
CORR
2006
Springer
112views Education» more  CORR 2006»
15 years 6 months ago
Lossless coding for distributed streaming sources
Distributed source coding is traditionally viewed in the block coding context -- all the source symbols are known in advance at the encoders. This paper instead considers a stream...
Cheng Chang, Stark C. Draper, Anant Sahai
TIT
2002
129views more  TIT 2002»
15 years 6 months ago
Arbitrary source models and Bayesian codebooks in rate-distortion theory
-- We characterize the best achievable performance of lossy compression algorithms operating on arbitrary random sources, and with respect to general distortion measures. Direct an...
Ioannis Kontoyiannis, Junshan Zhang