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JMLR
2012
13 years 8 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 11 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 9 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 4 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»
16 years 3 days 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