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» Novel Auxiliary Techniques in Clustering
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ISPD
2010
ACM
157views Hardware» more  ISPD 2010»
13 years 12 months ago
SafeChoice: a novel clustering algorithm for wirelength-driven placement
This paper presents SafeChoice (SC), a novel clustering algorithm for wirelength-driven placement. Unlike all previous approaches, SC is proposed based on a fundamental theorem, s...
Jackey Z. Yan, Chris Chu, Wai-Kei Mak
ACCV
2010
Springer
13 years 2 days ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
BMCBI
2011
13 years 1 days ago
A novel approach to the clustering of microarray data via nonparametric density estimation
Background: Cluster analysis is a crucial tool in several biological and medical studies dealing with microarray data. Such studies pose challenging statistical problems due to di...
Riccardo De Bin, Davide Risso
WISE
2009
Springer
13 years 12 months ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...
ICTAI
2003
IEEE
13 years 10 months ago
A Novel Bag Generator for Image Database Retrieval With Multi-Instance Learning Techniques
In multi-instance learning, the training examples are bags composed of instances without labels and the task is to predict the labels of unseen bags through analyzing the training...
Zhi-Hua Zhou, Min-Ling Zhang, Ke-Jia Chen