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» Texture classification using invariant ranklet features
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WWW
2008
ACM
15 years 10 months ago
Detecting image spam using visual features and near duplicate detection
Email spam is a much studied topic, but even though current email spam detecting software has been gaining a competitive edge against text based email spam, new advances in spam g...
Bhaskar Mehta, Saurabh Nangia, Manish Gupta 0002, ...
ICIP
2003
IEEE
15 years 11 months ago
Robust object boundary determination using a locally adaptive level set algorithm
This paper introduces a level set methodology for the precise boundary localization of image objects within an indicated region, designed to be particularly robust against weak or...
Eftychios Sifakis, George Tziritas
ICDE
2006
IEEE
154views Database» more  ICDE 2006»
15 years 3 months ago
Efficient Image Classification on Vertically Decomposed Data
Organizing digital images into semantic categories is imperative for effective browsing and retrieval. In large image collections, an efficient algorithm is crucial to quickly cat...
Taufik Abidin, Aijuan Dong, Honglin Li, William Pe...
VIS
2007
IEEE
239views Visualization» more  VIS 2007»
15 years 10 months ago
Moment Invariants for the Analysis of 2D Flow Fields
We present a novel approach for analyzing two-dimensional (2D) flow field data based on the idea of invariant moments. Moment invariants have traditionally been used in computer vi...
Michael Schlemmer, Manuel Heringer, Florian Morr...
74
Voted
SIAMCO
2000
137views more  SIAMCO 2000»
14 years 9 months ago
On a Class of Diffeomorphic Matching Problems in One Dimension
We study a class of functional which can be used for matching objects which can be represented as mappings from a fixed interval, I, to some "feature space." This class o...
Alain Trouvé, Laurent Younes