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93
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AAAI
2011
14 years 15 days ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...
CVPR
2012
IEEE
13 years 2 months ago
Unsupervised metric fusion by cross diffusion
Metric learning is a fundamental problem in computer vision. Different features and algorithms may tackle a problem from different angles, and thus often provide complementary inf...
Bo Wang, Jiayan Jiang, Wei Wang 0028, Zhi-Hua Zhou...
102
Voted
CDC
2010
IEEE
114views Control Systems» more  CDC 2010»
14 years 7 months ago
On subspace identification of cascade structured systems
Subspace identification has proven useful when identifying identifying multi-input multi-output systems. It is, however, important in many applications to take a priori structural ...
Per Hagg, Bo Wahlberg, Henrik Sandberg
ISVLSI
2007
IEEE
100views VLSI» more  ISVLSI 2007»
15 years 6 months ago
Vector Processing Support for FPGA-Oriented High Performance Applications
In this paper, we propose and implement a vector processing system that includes two identical vector microprocessors embedded in two FPGA chips. Each vector microprocessor suppor...
Hongyan Yang, Shuai Wang, Sotirios G. Ziavras, Jie...
56
Voted
ICIP
2001
IEEE
16 years 2 months ago
Scene boundary detection via video self-similarity analysis
In this paper, we present a novel framework for analyzing video using self-similarity. Video scenes are located by analyzing inter-frame similarity matrices. The approach is flexi...
Matthew L. Cooper, Jonathan Foote