Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Lahlou, Tarek"'
Open domain neural dialogue models, despite their successes, are known to produce responses that lack relevance, diversity, and in many cases coherence. These shortcomings stem from the limited ability of common training objectives to directly expres
Externí odkaz:
http://arxiv.org/abs/1909.00925
Speech processing systems rely on robust feature extraction to handle phonetic and semantic variations found in natural language. While techniques exist for desensitizing features to common noise patterns produced by Speech-to-Text (STT) and Text-to-
Externí odkaz:
http://arxiv.org/abs/1906.05678
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and
Externí odkaz:
http://hdl.handle.net/1721.1/105946
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 115-118).
Transient signals naturally arise
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 115-118).
Transient signals naturally arise
Externí odkaz:
http://hdl.handle.net/1721.1/82406
Autor:
Lahlou, Tarek A., Baran, Thomas A.
This primary purpose of this paper is to succinctly state a number of verifiable and tractable sufficient conditions under which a particular class of conservative signal processing structures may be readily used to solve a companion class of constra
Externí odkaz:
http://arxiv.org/abs/1510.05231
Autor:
Lahlou, Tarek A., Baran, Thomas A.
This paper presents a systematic approach for implementing a class of nonlinear signal processing systems as a distributed web service, which in turn is used to solve optimization problems in a distributed, asynchronous fashion. As opposed to requiri
Externí odkaz:
http://arxiv.org/abs/1509.06282
Autor:
Lahlou, Tarek A., Oppenheim, Alan V.
This paper presents two novel regularization methods motivated in part by the geometric significance of biorthogonal bases in signal processing applications. These methods, in particular, draw upon the structural relevance of orthogonality and biorth
Externí odkaz:
http://arxiv.org/abs/1509.05895
Autor:
Lahlou, Tarek A., Makur, Anuran
In this paper, we study the problem of transient signal analysis. A signal-dependent algorithm is proposed which sequentially identifies the countable sets of decay rates and expansion coefficients present in a given signal. We qualitatively compare
Externí odkaz:
http://arxiv.org/abs/1509.05696
Autor:
Lahlou, Tarek A., Baran, Thomas A.
In this paper we design and analyze algorithms for asynchronously solving linear programs using nonlinear signal processing structures. In particular, we discuss a general procedure for generating these structures such that a fixed-point of the struc
Externí odkaz:
http://arxiv.org/abs/1502.06784
Autor:
Lahlou, Tarek A., Oppenheim, Alan V.
This paper presents a general framework for generating greedy algorithms for solving convex constraint satisfaction problems for sparse solutions by mapping the satisfaction problem into one of graph traversal on a rooted tree of unknown topology. Fo
Externí odkaz:
http://arxiv.org/abs/1502.01220