Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
Christopher Leckie, James C. Bezdek, Kotagiri Rama...
A hierarchical scheme with cells and modules is crucial for managing design complexity during a large integrated circuit design. We present a methodology for thermal aware cell-ba...
— Local image features are used for a wide range of applications in computer vision and range imaging. While there is a great variety of detector-descriptor combinations for imag...
—Salient areas in natural scenes are generally regarded as areas which the human eye will typically focus on, and finding these areas is the key step in object detection. In com...
Recent research in visual inference from monocular images has shown that discriminatively trained image-based predictors can provide fast, automatic qualitative 3D reconstructions...
Atul Kanaujia, Cristian Sminchisescu, Dimitris N. ...