Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Abstract. We present a discriminatively trained model for joint modelling of object class labels (e.g. “person”, “dog”, “chair”, etc.) and their visual attributes (e.g....
We explore real time volume rendering of multichannel data for volumes with color and multi-modal information. We demonstrate volume rendering of the Visible Human Male color data...
Abhijeet Ghosh, Poojan Prabhu, Arie E. Kaufman, Kl...
— Some electric power markets allow bidders to specify constraints on ramp rates for increasing or decreasing power production. We show in a small example that a bidder could use...
—A unified approach to rate-distortion (R-D) optimized compression and view-dependent transmission of three-dimensional (3-D) normal meshes is investigated in this work. A norma...
Jae-Young Sim, Chang-Su Kim, C. C. Jay Kuo, Sang U...