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ISNN
2011
Springer
13 years 22 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
JCAL
2011
89views more  JCAL 2011»
13 years 21 days ago
What if undergraduate students designed their own web learning environment? Exploring students' web 2.0 mentality through partic
Following the increasing calls for a more skeptical analysis of web 2.0 and the empowerment of learners’ voices in formulating upcoming technologies, this paper elaborates on the...
George Palaigeorgiou, George Triantafyllakos, Avgo...
MSR
2011
ACM
13 years 20 days ago
Security versus performance bugs: a case study on Firefox
A good understanding of the impact of different types of bugs on various project aspects is essential to improve software quality research and practice. For instance, we would ex...
Shahed Zaman, Bram Adams, Ahmed E. Hassan
SDM
2011
SIAM
223views Data Mining» more  SDM 2011»
13 years 19 days ago
Characterizing Uncertain Data using Compression
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...
ICCV
2011
IEEE
12 years 9 months ago
Complementary Hashing for Approximate Nearest Neighbor Search
Recently, hashing based Approximate Nearest Neighbor (ANN) techniques have been attracting lots of attention in computer vision. The data-dependent hashing methods, e.g., Spectral...
Hao Xu, Jingdong Wang, Zhu Li, Gang Zeng, Shipeng ...