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PAMI
2006
136views more  PAMI 2006»
15 years 22 days ago
Data Driven Image Models through Continuous Joint Alignment
This paper presents a family of techniques that we call congealing for modeling image classes from data. The idea is to start with a set of images and make them appear as similar a...
Erik G. Learned-Miller
114
Voted
SIGIR
2008
ACM
15 years 22 days ago
A study of learning a merge model for multilingual information retrieval
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
Ming-Feng Tsai, Yu-Ting Wang, Hsin-Hsi Chen
IJCV
2007
195views more  IJCV 2007»
15 years 22 days ago
Pre-Attentive and Attentive Detection of Humans in Wide-Field Scenes
We address the problem of localizing and obtaining high-resolution footage of the people present in a scene. We propose a biologically-inspired solution combining pre-attentive, lo...
James H. Elder, Simon J. D. Prince, Yuqian Hou, Mi...
SMA
2008
ACM
155views Solid Modeling» more  SMA 2008»
15 years 22 days ago
Filament tracking and encoding for complex biological networks
We present a framework for segmenting and storing filament networks from scalar volume data. Filament structures are commonly found in data generated using high-throughput microsc...
David Mayerich, John Keyser
138
Voted
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 22 days ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
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