Abstract— We discuss a new type of holographic image representations that have advantages in a “distributed” world. We call these representations holographic. Arbitrary porti...
Alfred M. Bruckstein, Robert J. Holt, Arun N. Netr...
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
Data models and encoding formats for syntactically annotated text corpora need to deal with syntactic ambiguity; underspecified representations are particularly well suited for th...
We present an automated exchange for trading complex goods, such as used cars, which allows traders to describe desirable purchases and sales by multiple attributes. The developed...
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...