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pro vyhledávání: '"Cohen, Rami"'
Due to the advances in deep learning, visually-aware recommender systems (RS) have recently attracted increased research interest. Such systems combine collaborative signals with images, usually represented as feature vectors outputted by pre-trained
Externí odkaz:
http://arxiv.org/abs/2011.02701
Linear codes over finite extension fields have widespread applications in theory and practice. In some scenarios, the decoder has a sequential access to the codeword symbols, giving rise to a hierarchical erasure structure. In this paper we develop a
Externí odkaz:
http://arxiv.org/abs/1802.02265
In this paper, we introduce a new channel model we term the q-ary multi-bit channel (QMBC). This channel models a memory device, where q-ary symbols (q=2^s) are stored in the form of current/voltage levels. The symbols are read in a measurement proce
Externí odkaz:
http://arxiv.org/abs/1706.09146
Akademický článek
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Autor:
Cohen, Rami, Cassuto, Yuval
Network switches and routers need to serve packet writes and reads at rates that challenge the most advanced memory technologies. As a result, scaling the switching rates is commonly done by parallelizing the packet I/Os using multiple memory units.
Externí odkaz:
http://arxiv.org/abs/1605.04510
Autor:
Cohen, Rami, Cassuto, Yuval
In this paper, we develop a new channel model, which we name the $q$-ary partial erasure channel (QPEC). The QPEC has a $q$-ary input, and its output is either the input symbol or a set of $M$ ($2 \le M \le q$) symbols, containing the input symbol. T
Externí odkaz:
http://arxiv.org/abs/1510.05311
Autor:
Cohen, Rami, Cassuto, Yuval
Network switches and routers need to serve packet writes and reads at rates that challenge the most advanced memory technologies. As a result, scaling the switching rates is commonly done by parallelizing the packet I/Os using multiple memory units.
Externí odkaz:
http://arxiv.org/abs/1504.04803
Publikováno v:
In Finite Fields and Their Applications December 2020 68
Autor:
Cohen, Rami, Cassuto, Yuval
In this paper, we develop a new channel model, which we name the $q$-ary partial erasure channel (QPEC). QPEC has a $q$-ary input, and its output is either one symbol or a set of $M$ possible values. This channel mimics situations when current/voltag
Externí odkaz:
http://arxiv.org/abs/1401.4799
Autor:
Cohen, Rami
Segmentation is the process of partitioning a digital image into multiple segments (sets of pixels). Such common segmentation tasks including segmenting written text or segmenting tumors from healthy brain tissue in an MRI image, etc. Chan-Vese model
Externí odkaz:
http://arxiv.org/abs/1107.2782