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» On Computability of Pattern Recognition Problems
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ISAAC
2003
Springer
70views Algorithms» more  ISAAC 2003»
15 years 9 months ago
Settling the Intractability of Multiple Alignment
In this paper some of the most fundamental problems in computational biology are proved intractable. The following problems are shown NP-hard for all binary or larger alphabets und...
Isaac Elias
ECCV
2006
Springer
16 years 6 months ago
Fast Memory-Efficient Generalized Belief Propagation
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...
M. Pawan Kumar, Philip H. S. Torr
TSP
2010
14 years 11 months ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani
CIVR
2007
Springer
164views Image Analysis» more  CIVR 2007»
15 years 10 months ago
Inducing a perceptual relevance shape classifier
In this paper, we develop a system to classify the outputs of image segmentation algorithms as perceptually relevant or perceptually irrelevant with respect to human perception. T...
Victoria J. Hodge, John P. Eakins, James Austin
KDD
2008
ACM
182views Data Mining» more  KDD 2008»
16 years 5 months ago
Classification with partial labels
In this paper, we address the problem of learning when some cases are fully labeled while other cases are only partially labeled, in the form of partial labels. Partial labels are...
Nam Nguyen, Rich Caruana