Sciweavers

1376 search results - page 111 / 276
» The Localization Hypothesis and Machines
Sort
View
129
Voted
SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
15 years 5 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
110
Voted
TNN
2008
178views more  TNN 2008»
15 years 19 days ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
SIAMSC
2011
151views more  SIAMSC 2011»
14 years 7 months ago
Inexact Newton Methods with Restricted Additive Schwarz Based Nonlinear Elimination for Problems with High Local Nonlinearity
The classical inexact Newton algorithm is an efficient and popular technique for solving large sparse nonlinear system of equations. When the nonlinearities in the system are wellb...
Xiao-Chuan Cai, Xuefeng Li
115
Voted
BMCBI
2008
149views more  BMCBI 2008»
15 years 26 days ago
Evolution of biological sequences implies an extreme value distribution of type I for both global and local pairwise alignment s
Background: Confidence in pairwise alignments of biological sequences, obtained by various methods such as Blast or Smith-Waterman, is critical for automatic analyses of genomic d...
Olivier Bastien, Eric Maréchal
106
Voted
BMCBI
2007
142views more  BMCBI 2007»
15 years 22 days ago
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary informa
Background: In past number of methods have been developed for predicting subcellular location of eukaryotic, prokaryotic (Gram-negative and Gram-positive bacteria) and human prote...
Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghav...