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» Approximation schemes for clustering problems
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CVPR
2008
IEEE
14 years 9 months ago
Sequential sparsification for change detection
This paper presents a general method for segmenting a vector valued sequence into an unknown number of subsequences where all data points from a subsequence can be represented wit...
Necmiye Ozay, Mario Sznaier, Octavia I. Camps
ICML
2008
IEEE
14 years 8 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
FOCS
2000
IEEE
14 years 1 days ago
The Randomness Recycler: A New Technique for Perfect Sampling
For many probability distributions of interest, it is quite difficult to obtain samples efficiently. Often, Markov chains are employed to obtain approximately random samples fro...
James Allen Fill, Mark Huber
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 7 months ago
CLP-based protein fragment assembly
Abstract. The paper investigates a novel approach, based on Constraint Logic Programming (CLP), to predict the 3D conformation of a protein via fragments assembly. The fragments ar...
Alessandro Dal Palù, Agostino Dovier, Feder...
ICASSP
2011
IEEE
12 years 11 months ago
Asymptotically MMSE-optimum pilot design for comb-type OFDM channel estimation in high-mobility scenarios
Under high mobility, the orthogonality between sub-carriers in an OFDM symbol is destroyed resulting in severe intercarrier interference (ICI). We present a novel algorithm to est...
K. M. Zahidul Islam, Tareq Y. Al-Naffouri, Naofal ...