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» Computability of Models for Sequence Assembly
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CVPR
1997
IEEE
16 years 8 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
NAR
2011
256views Computer Vision» more  NAR 2011»
14 years 9 months ago
ModBase, a database of annotated comparative protein structure models, and associated resources
ModBase (http://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that rel...
Ursula Pieper, Benjamin M. Webb, David T. Barkan, ...
PRICAI
2004
Springer
15 years 11 months ago
Prediction of the Risk Types of Human Papillomaviruses by Support Vector Machines
Abstract. Infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancers. Classification of risk types is important to understand the ...
Je-Gun Joung, Sok June Oh, Byoung-Tak Zhang
CCA
2009
Springer
16 years 22 days ago
Separations of Non-monotonic Randomness Notions
In the theory of algorithmic randomness, several notions of random sequence are defined via a game-theoretic approach, and the notions that received most attention are perhaps Mar...
Laurent Bienvenu, Rupert Hölzl, Thorsten Kr&a...
141
Voted
BMCBI
2007
141views more  BMCBI 2007»
15 years 6 months ago
Artificial neural network models for prediction of intestinal permeability of oligopeptides
Background: Oral delivery is a highly desirable property for candidate drugs under development. Computational modeling could provide a quick and inexpensive way to assess the inte...
Eunkyoung Jung, Junhyoung Kim, Minkyoung Kim, Dong...