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JMLR
2012
12 years 1 months ago
A metric learning perspective of SVM: on the relation of LMNN and SVM
Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...
IJCAI
1993
14 years 23 days ago
Average-Case Analysis of a Nearest Neighbor Algorithm
In this paper we present an average-case analysis of the nearest neighbor algorithm, a simple induction method that has been studied by manyresearchers. Our analysis assumes a con...
Pat Langley, Wayne Iba
DAS
2010
Springer
14 years 3 months ago
Nearest neighbor based collection OCR
Conventional optical character recognition (OCR) systems operate on individual characters and words, and do not normally exploit document or collection context. We describe a Coll...
K. Pramod Sankar, C. V. Jawahar, Raghavan Manmatha
KES
2004
Springer
14 years 4 months ago
Epistemic Logic and Planning
Artificial Intelligence algorithms can be divided into two groups according to the type of problems they solve. Knowledge-intensive domains contain explicit knowledge, whereas know...
Shahin Maghsoudi, Ian Watson
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 12 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
ECCV
2006
Springer
15 years 1 months ago
Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation
Abstract. The estimation of the epipolar geometry is especially difficult where the putative correspondences include a low percentage of inlier correspondences and/or a large subse...
Liran Goshen, Ilan Shimshoni