There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
Honglak Lee, Roger Grosse, Rajesh Ranganath, Andre...
—We address the recently recognized privatization problem in software transactional memory (STM) runtimes, and introduce the notion of partially visible reads (PVRs) to heuristic...
Virendra J. Marathe, Michael F. Spear, Michael L. ...
Traditional approaches to evolvable hardware (EHW), in which the field programmable gate array (FPGA) configuration is directly encoded, have not scaled well with increasing cir...
Abstract— Comparing genetic sequences is a well-known problem in bioinformatics. Newly determined sequences are being compared to known sequences stored in databases in order to ...
Philippe Faes, Bram Minnaert, Mark Christiaens, Er...
This paper presents a simple and effective nonparametric approach to the problem of image parsing, or labeling image regions (in our case, superpixels produced by bottom-up segmen...