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» A hierarchical model of data locality
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CVPR
2009
IEEE
16 years 5 months ago
Localized Content-Based Image Retrieval Through Evidence Region Identification
Over the past decade, multiple-instance learning (MIL) has been successfully utilized to model the localized content-based image retrieval (CBIR) problem, in which a bag corresp...
Wu-Jun Li (Hong Kong University of Science and Tec...
ECCV
2010
Springer
15 years 3 months ago
Building Compact Local Pairwise Codebook with Joint Feature Space Clustering
Abstract. This paper presents a simple, yet effective method of building a codebook for pairs of spatially close SIFT descriptors. Integrating such codebook into the popular bag-o...
TSP
2008
167views more  TSP 2008»
14 years 9 months ago
Multi-Task Learning for Analyzing and Sorting Large Databases of Sequential Data
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...
MICCAI
2004
Springer
15 years 11 months ago
A Method to Monitor Local Changes in MR Signal Intensity in Articular Cartilage: A Potential Marker for Cartilage Degeneration i
Osteoarthritis (OA) involves changes in the composition and ultimately the loss of cartilage from articulating joints. MRI has the ability to non-invasively probe the compositional...
Josephine H. Naish, Graham Vincent, Mike Bowes, Ma...
ISBI
2006
IEEE
15 years 11 months ago
Using surface normals to localize subdural intracranial electrodes placed during neurosurgery
Clinical and research neurosurgical studies involving the use of intracranial electroencephalography and cortical stimulation depend critically on accurate localization of electro...
James P. O'Shea, William M. Wells III, Alexandra G...