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JMLR
2012
13 years 5 months ago
Metric and Kernel Learning Using a Linear Transformation
Metric and kernel learning arise in several machine learning applications. However, most existing metric learning algorithms are limited to learning metrics over low-dimensional d...
Prateek Jain, Brian Kulis, Jason V. Davis, Inderji...
3DIM
2005
IEEE
15 years 8 months ago
Simultaneous Determination of Registration and Deformation Parameters among 3D Range Images
Conventional registration algorithms are mostly concerned with rigid-body transformation parameters between a pair of 3D range images. Our proposed framework aims to determine, in...
Tomohito Masuda, Yuichiro Hirota, Katsushi Ikeuchi...
DATE
2004
IEEE
105views Hardware» more  DATE 2004»
15 years 6 months ago
Time-Energy Design Space Exploration for Multi-Layer Memory Architectures
This paper presents an exploration algorithm which examines execution time and energy consumption of a given application, while considering a parameterized memory architecture. Th...
Radoslaw Szymanek, Francky Catthoor, Krzysztof Kuc...
PAMI
2010
205views more  PAMI 2010»
15 years 1 months ago
Learning a Hierarchical Deformable Template for Rapid Deformable Object Parsing
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Long Zhu, Yuanhao Chen, Alan L. Yuille
ICDM
2006
IEEE
164views Data Mining» more  ICDM 2006»
15 years 9 months ago
Unsupervised Learning of Tree Alignment Models for Information Extraction
We propose an algorithm for extracting fields from HTML search results. The output of the algorithm is a database table– a data structure that better lends itself to high-level...
Philip Zigoris, Damian Eads, Yi Zhang