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99
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ICCV
2011
IEEE
13 years 11 months ago
Domain Adaptation for Object Recognition: An Unsupervised Approach
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
Raghuraman Gopalan, Ruonan Li, Rama Chellappa
184
Voted
ICDE
2001
IEEE
149views Database» more  ICDE 2001»
16 years 7 days ago
Selectivity Estimation for Spatial Joins
Spatial Joins are important and time consuming operations in spatial database management systems. It is crucial to be able to accurately estimate the performance of these operatio...
Ning An, Zhen-Yu Yang, Anand Sivasubramaniam
78
Voted
ICALT
2010
IEEE
14 years 12 months ago
Students' Perceptions of the Factors Leading to Unsuccessful Group Collaboration
A nationwide sample of university students completed a survey that asked questions about their perceptions of the factors that can cause problems which exist with online or general...
Shuangyan Liu, Mike Joy, Nathan Griffiths
80
Voted
AUSAI
2003
Springer
15 years 4 months ago
Choosing Learning Algorithms Using Sign Tests with High Replicability
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
Remco R. Bouckaert
KDD
2010
ACM
242views Data Mining» more  KDD 2010»
15 years 27 days ago
A scalable two-stage approach for a class of dimensionality reduction techniques
Dimensionality reduction plays an important role in many data mining applications involving high-dimensional data. Many existing dimensionality reduction techniques can be formula...
Liang Sun, Betul Ceran, Jieping Ye