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198
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MP
2010
162views more  MP 2010»
15 years 5 months ago
Approximation accuracy, gradient methods, and error bound for structured convex optimization
Convex optimization problems arising in applications, possibly as approximations of intractable problems, are often structured and large scale. When the data are noisy, it is of i...
Paul Tseng
247
Voted
PRIB
2010
Springer
192views Bioinformatics» more  PRIB 2010»
15 years 5 months ago
Structured Output Prediction of Anti-cancer Drug Activity
We present a structured output prediction approach for classifying potential anti-cancer drugs. Our QSAR model takes as input a description of a molecule and predicts the activity...
Hongyu Su, Markus Heinonen, Juho Rousu
200
Voted
EMNLP
2009
15 years 4 months ago
Convolution Kernels on Constituent, Dependency and Sequential Structures for Relation Extraction
This paper explores the use of innovative kernels based on syntactic and semantic structures for a target relation extraction task. Syntax is derived from constituent and dependen...
Truc-Vien T. Nguyen, Alessandro Moschitti, Giusepp...
208
Voted
CVPR
2011
IEEE
15 years 3 months ago
Total Variation for Cyclic Structures
We introduce a novel type of total variation regularizer, TVS1 , for cyclic structures such as angles or hue values. The method handles the periodicity of values in a simple and c...
Evgeny Strekalovskiy, Daniel Cremers
189
Voted
CVPR
2011
IEEE
15 years 2 months ago
Radiometric Calibration by Transform Invariant Low-rank Structure
We present a robust radiometric calibration method that capitalizes on the transform invariant low-rank structure of sensor irradiances recorded from a static scene with different...
Joon-Young Lee, Boxin Shi, Yasuyuki Matsushita, In...