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» Solving Demodulation as an Optimization Problem
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197
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ICPR
2010
IEEE
15 years 7 months ago
A Unified Probabilistic Approach to Feature Matching and Object Segmentation
This paper deals with feature matching and segmentation of common objects in a pair of images, simultaneously. For the feature matching problem, the matching likelihoods of all fea...
Tae Hoon Kim (Seoul National University), Kyoung M...
BIBE
2009
IEEE
126views Bioinformatics» more  BIBE 2009»
15 years 7 months ago
Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Sinan Kockara
105
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Maximum-likelihood estimation of autoregressive models with conditional independence constraints
We propose a convex optimization method for maximum likelihood estimation of autoregressive models, subject to conditional independence constraints. This problem is an extension t...
Jitkomut Songsiri, Joachim Dahl, Lieven Vandenberg...
81
Voted
ISCIS
2009
Springer
15 years 7 months ago
Construction of examination timetables based on ordering heuristics
—In this paper, we combine graph coloring heuristics, namely largest degree and saturation degree with the concept of a heuristic modifier under the framework of squeaky wheel op...
Syariza Abdul Rahman, Andrzej Bargiela, Edmund K. ...
89
Voted
PKDD
2009
Springer
117views Data Mining» more  PKDD 2009»
15 years 7 months ago
New Regularized Algorithms for Transductive Learning
Abstract. We propose a new graph-based label propagation algorithm for transductive learning. Each example is associated with a vertex in an undirected graph and a weighted edge be...
Partha Pratim Talukdar, Koby Crammer