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» Regularized Interpolation for Noisy Data
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CVPR
2005
IEEE
14 years 11 months ago
Pruning Training Sets for Learning of Object Categories
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
Anelia Angelova, Yaser S. Abu-Mostafa, Pietro Pero...
BMCBI
2004
158views more  BMCBI 2004»
13 years 9 months ago
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
Background: The main goal in analyzing microarray data is to determine the genes that are differentially expressed across two types of tissue samples or samples obtained under two...
Kayvan Najarian, Maryam Zaheri, Ali Ajdari Rad, Si...
TON
2012
12 years 1 days ago
Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks
Abstract—Wireless sensor networks (WSNs) have been increasingly available for critical applications such as security surveillance and environmental monitoring. An important perfo...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang...
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
14 years 9 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden
ECCV
2010
Springer
14 years 3 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....