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» A Support Vector Clustering Method
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BMVC
2001
15 years 6 months ago
An EM-like Algorithm for Motion Segmentation via Eigendecomposition
This paper presents an iterative maximum likelihood framework for motion segmentation via the pairwise checking of pixel blocks. We commence from a characterisation of the motion ...
Antonio Robles-Kelly, Edwin R. Hancock
WEBI
2007
Springer
15 years 9 months ago
K-SVMeans: A Hybrid Clustering Algorithm for Multi-Type Interrelated Datasets
Identification of distinct clusters of documents in text collections has traditionally been addressed by making the assumption that the data instances can only be represented by ...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
104
Voted
ICIP
1998
IEEE
16 years 5 months ago
Video Content Representation using Optimal Extraction of Frames and Scenes
In this paper, an efficient video content representation is proposed using optimal extraction of characteristic frames and scenes. This representation, apart from providing browsi...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Yann...
140
Voted
ALT
2004
Springer
16 years 15 days ago
Convergence of a Generalized Gradient Selection Approach for the Decomposition Method
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
Nikolas List
AAAI
2006
15 years 5 months ago
Kernel Methods for Word Sense Disambiguation and Acronym Expansion
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
Mahesh Joshi, Ted Pedersen, Richard Maclin, Sergue...