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1 List of Unusual Symbols and Abbreviations Used
"... cS ( s, p) p th cepstral coefficient of the s th subbands { c1(1,p) = c(p) is the p th fullband cepstral parameter} S number of subbands Y(k) k th log spectral magnitude K number of log spectral magnitudes ′ k th logenergy outputs of the melscale filterbank Y ′ (k K ′ number of logenergy outp ..."
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cS ( s, p) p th cepstral coefficient of the s th subbands { c1(1,p) = c(p) is the p th fullband cepstral parameter} S number of subbands Y(k) k th log spectral magnitude K number of log spectral magnitudes ′ k th logenergy outputs of the melscale filterbank Y ′ (k K ′ number of logenergy outputs of the melscale filterbank ht weight associated with the t th segment U number of competing speakers (1−ηs) average speaker verification error rate in the s th subband R, q number of subbandsystems Superscript s implies the association of the s th subband Superscript u implies the association of the u th competing speaker Superscript r implies the association of the r th subbandsystem ′ implies the association of the complementary fullband cepstral parameters SB Subband based DBSW dynamic bandlimited segmental weights MFBO melscale filterbank output SNRW signaltonoise ratiobased weighting factors CFBCC complementary fullband cepstral coefficient SSFCS subband system with fullband cepstral supplements MSBSA multiple subbandsystems analysis FWN filtered white noise RNT real noise type
Efficient detection of unusual words
 J. COMP. BIOL
, 2000
"... Words that are, by some measure, over or underrepresented in the context of larger sequences have been variously implicated in biological functions and mechanisms. In most approaches to such anomaly detections, the words (up to a certain length) are enumerated more or less exhaustively and are indi ..."
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Cited by 42 (8 self)
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behaviors, or perhaps just as a preliminary filter for words suspicious enough to undergo a more accurate scrutiny. We consider in depth the simple probabilistic model in which sequences are produced by a random source emitting symbols from a known alphabet independently and according to a given
Regularisation Of Secondary Charachteristical Classes And Unusual Index Formulas For OperatorValued Symbols
"... The usual expression for the secondary characteristical classes is regularized so that it fits for the case of Hilbert bundles. This gives index formulas for pseudodifferential operators with operatorvalued symbols. ..."
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The usual expression for the secondary characteristical classes is regularized so that it fits for the case of Hilbert bundles. This gives index formulas for pseudodifferential operators with operatorvalued symbols.
Weighting Unusual Feature Types
, 1999
"... Feature weighting is known empirically to improve classification accuracy for knearest neighbor classifiers in tasks with irrelevant features. Many feature weighting algorithms are designed to work with symbolic features, or numeric features, or both, but cannot be applied to problems with features ..."
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Cited by 3 (0 self)
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Feature weighting is known empirically to improve classification accuracy for knearest neighbor classifiers in tasks with irrelevant features. Many feature weighting algorithms are designed to work with symbolic features, or numeric features, or both, but cannot be applied to problems
Symbolic Finite State Transducers: Algorithms and Applications
 POPL'12
, 2012
"... Finite automata and finite transducers are used in a wide range of applications in software engineering, from regular expressions to specification languages. We extend these classic objects with symbolic alphabets represented as parametric theories. Admitting potentially infinite alphabets makes t ..."
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Cited by 28 (12 self)
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decision procedure for the background theory. We provide novel algorithms for these operations and extend composition to symbolic transducers augmented with registers. Our base algorithms are unusual in that they are
Symbolic differentiation in Tcl: reusing the Tcl parser for symbolic algebra
"... Many mathematical algorithms are improved by the ability to provide the derivatives of functions. This paper presents a symbolic differentiator for Tcl: a Tcl function that operates on Tcl expressions and produces expressions that compute their derivatives. The differentiator exploits the littleuse ..."
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Many mathematical algorithms are improved by the ability to provide the derivatives of functions. This paper presents a symbolic differentiator for Tcl: a Tcl function that operates on Tcl expressions and produces expressions that compute their derivatives. The differentiator exploits the little
Diurnal Cycles and WorkRest Scheduling in Unusual Environments’
"... The extension of man’s working environment and its control have lead to a new consideration of his “normal ” neurophysiological and psyclzological rhythms. There are some fifty such patterns of fluctuating functions within man which have various degrees of influence upon his level of performance a ..."
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monial site remains of the Incan empire, and the silent symbolism of Stonehenge provide adequate evidence of man’s early interest in and acquaintance with cyclic patterns in nature. His culture has been developed around them and the interaction between those things imposed by such natural rhythms and those
Beasts and BuildingsReligious Symbolism and Medieval Memory
"... “…what is the meaning of those ridiculous grotesques, those monstrous shapes and shapely monsters? Those lions, those centaurs, those halfhuman creatures, with mouths in their bellies, with single feet, ears like sails?”Umberto Eco The Name of the Rose It is not difficult to take it for granted w ..."
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is unusual, and all the monks behave as though having such powers of memory is absolutely normal. Some investigation can prove that such an attitude toward education and memory is an accurate
Admission of failure and symbolic self  completion: Extending Lewinian theory
 Journal of Personality and Social Psychology, 43 , 358
, 1982
"... The present research examined the dynamic relation between two selfrelevant actions, one selfsupportive and the other selfabasing. These selfrelevant actions were undertaken by subjects within the context of particular selfdefinitions (e.g., journalist, guitarist) to which subjects were activel ..."
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Cited by 18 (8 self)
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, all subjects were given 15 minutes to write a supportive selfdescriptive essay. Subjects who had been induced to be selfabasing were the least likely to interrupt themselves while writing the essay. The results of both studies are interpreted within the framework of symbolic selfcompletion theory
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