Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
Tianbing Xu, Zhongfei (Mark) Zhang, Philip S. Yu, ...
High quality, virtual 3D models are quickly emerging as a new multimedia data type with applications in such diverse areas as e-commerce, online encyclopaedias, or virtual museums...
Hendrik P. A. Lensch, Jan Kautz, Michael Goesele, ...
Large instruction window processors achieve high performance by exposing large amounts of instruction level parallelism. However, accessing large hardware structures typically req...
Haitham Akkary, Ravi Rajwar, Srikanth T. Srinivasa...
The tremendous increase in the use of cellular phones, GPS-like devices, and RFIDs results in highly dynamic environments where objects as well as queries are continuously moving. ...
Mohamed F. Mokbel, Xiaopeng Xiong, Moustafa A. Ham...
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...