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ICPR
2010
IEEE
15 years 1 months ago
User Adaptive Clustering for Large Image Databases
Abstract--Searching large image databases is a time consuming process when done manually. Current CBIR methods mostly rely on training data in specific domains. When source and dom...
Mohammad Mehdi Saboorian, Mansour Jamzad, Hamid R....
ACL
2009
15 years 1 months ago
A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination
Recently confusion network decoding shows the best performance in combining outputs from multiple machine translation (MT) systems. However, overcoming different word orders prese...
Boxing Chen, Min Zhang, Haizhou Li, AiTi Aw
ACL
2009
15 years 1 months ago
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
Yoshimasa Tsuruoka, Jun-ichi Tsujii, Sophia Anania...
IJACTAICIT
2010
123views more  IJACTAICIT 2010»
15 years 19 days ago
A Hybrid Fault-Proneness Detection Approach Using Text Filtering and Static Code Analysis
We have proposed a fault-prone software module detection method using text-filtering approach, called Fault-proneness filtering. Even though the fault-proneness filtering achieved...
Osamu Mizuno, Hideaki Hata
120
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IJDLS
2010
108views more  IJDLS 2010»
15 years 19 days ago
Sampling the Web as Training Data for Text Classification
Data acquisition is a major concern in text classification. The excessive human efforts required by conventional methods to build up quality training collection might not always b...
Wei-Yen Day, Chun-Yi Chi, Ruey-Cheng Chen, Pu-Jen ...