A fundamental question about (reusable) circuit garbling schemes is: how small can the garbled circuit be? Our main result is a reusable garbling scheme which produces garbled circuits that are the same size as the original circuit plus an additive poly(λ) bits, where λ is the security parameter. Save the additive poly(λ) factor, this is the best one could hope for. In contrast, all previous co...

We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose features factor over (1) the n-gram types in the summary and (2) the compressions used. We train the model using a marginbased objective whose loss captures end summary quality. Because of the exponentially large set of c...

We present a Compression Tool , GenBit Compress”, for genetic sequences based on our new proposed “GenBit Compress Algorithm”. Our Tool achieves the best compression ratios for Entire Genome (DNA sequences) . Significantly better compression results show that GenBit compress algorithm is the best among the remaining Genome compression algorithms for non-repetitive DNA sequences in Genomes. The ...

Feature extraction for tensor data serves as an important step in many tasks such anomaly detection, process monitoring, image classification, and quality control. Although methods have been proposed feature extraction, there are still two challenges that need to be addressed: (i) how reduce the computation cost high dimensional large volume data; (ii) interpret output features evaluate their s...

Sentence compression is one of the most challenging tasks in natural language processing, which may be of increasing interest to many applications such as abstractive summarization and text simplification for mobile devices. In this paper, we present a novel sentence compression model based on first-order logic, using Markov Logic Network. Sentence compression is formulated as a word/phrase del...

This is the first report on a new approach to text compression. It consists of representing the text file with compressed inverted file index in conjunction with very compact lexicon, where lexicon includes every word in the text. The index is compressed using standard index compression techniques, and lexicon is compressed by original dictionary compression method that gives better compression...

The Letter describes a technique for the spontaneous generation of chirped time-energy entangled photons. Transmitting either photon through an appropriate dispersive medium results in a temporally compressed, transform limited biphoton. At maximum bandwidth, the biphoton is a single cycle in length, with a waveform that has the same characteristic shape as a classical single-cycle pulse.