For developers debugging their own code, augmenting the code of others, or trying to learn the implementation details of interactive behaviors, understanding how web pages work is...
Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
Sander M. Bohte, Joost N. Kok, Johannes A. La Pout...
The adaptive coding schemes in H.264 standard provide a significant coding efficiency and some additional features like error resilience and network friendliness. The variable blo...
Woong Il Choi, Jeyun Lee, Sungmo Yang, Byeungwoo J...
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...
Pablo Sprechmann, Ignacio Ramirez, Guillermo Sapir...
In video coding, motion vectors always account for a large number of bits and affect coding efficiency largely. In this paper, we propose an efficient motion vector prediction algo...