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82,295
Realization of MultipleOutput Functions by Reconfigurable Cascades
 INTERNATIONAL CONFERENCE ON COMPUTER DESIGN: VLSI IN COMPUTERS AND PROCESSORS (ICCD’01
, 2001
"... A realization of multipleoutput logic functions using a RAM and a sequencer is presented. First, a multipleoutput function is represented by an encoded characteristic function for nonzeros (ECFN). Then, it is represented by a cascade of lookup tables (LUTs). And finally, the cascade is simulated ..."
Abstract

Cited by 7 (5 self)
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A realization of multipleoutput logic functions using a RAM and a sequencer is presented. First, a multipleoutput function is represented by an encoded characteristic function for nonzeros (ECFN). Then, it is represented by a cascade of lookup tables (LUTs). And finally, the cascade
Garbage in reversible design of multiple output functions
 In 6th International Symposium on Representations and Methodology of Future Computing Technologies
, 2003
"... In this paper we analyze the number of garbage outputs that must be added to a multiple output function to make it reversible. We give the precise formula for the theoretical minimum. For some benchmark functions, we calculate the garbage required by some proposed reversible design methods and com ..."
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Cited by 32 (7 self)
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In this paper we analyze the number of garbage outputs that must be added to a multiple output function to make it reversible. We give the precise formula for the theoretical minimum. For some benchmark functions, we calculate the garbage required by some proposed reversible design meth
A Cascade Realization of MultipleOutput Function for Reconfigurable Hardware
 INTERNATIONAL WORKSHOP ON LOGIC AND SYNTHESIS (IWLS01), LAKE TAHOE, CA
, 2001
"... A realization of multipleoutput logic functions using a RAM and a sequencer is presented. First, a multipleoutput function is represented by an encoded characteristic function for nonzeros (ECFN). Then, it is represented by a cascade of lookup tables (LUTs). And finally, the cascade is simulated ..."
Abstract

Cited by 36 (30 self)
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A realization of multipleoutput logic functions using a RAM and a sequencer is presented. First, a multipleoutput function is represented by an encoded characteristic function for nonzeros (ECFN). Then, it is represented by a cascade of lookup tables (LUTs). And finally, the cascade
Compact BDD Representations for MultipleOutput Functions and Their Application
 IFIP VLSISOC'01, pp.406411
, 2001
"... This paper shows a new method to represent a multipleoutput function: an encoded characteristic function for nonzero outputs (ECFN). The ECFN uses 5 binary variables to represent an input output function, where ere 29410  . The binary decision diagrams (BDDs) for ECFNs are never gre ..."
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Cited by 3 (1 self)
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This paper shows a new method to represent a multipleoutput function: an encoded characteristic function for nonzero outputs (ECFN). The ECFN uses 5 binary variables to represent an input output function, where ere 29410  . The binary decision diagrams (BDDs) for ECFNs are never
Representations of MultipleOutput Functions Using Binary Decision Diagrams for Characteristic Functions
, 1999
"... This paper proposes a method to construct smaller binary decision diagrams for characteristic functions (BDDs for CFs). A BDD for CF represents an ninput moutput ..."
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Cited by 1 (0 self)
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This paper proposes a method to construct smaller binary decision diagrams for characteristic functions (BDDs for CFs). A BDD for CF represents an ninput moutput
MODD: A new decision diagram and representation for multiple output functions
 Proc. Date’04
, 2004
"... This paper presents a new decision diagram (DD), called MODD, for multiple output binary and multiplevalued functions. This DD is canonic and can be made minimal with respect to a given variable order. Unlike other reported DDs, our approach can represent arbitrary combination of bits at the wordl ..."
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Cited by 5 (4 self)
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This paper presents a new decision diagram (DD), called MODD, for multiple output binary and multiplevalued functions. This DD is canonic and can be made minimal with respect to a given variable order. Unlike other reported DDs, our approach can represent arbitrary combination of bits at the word
Improved Minimization Methods Of Pseudo Kronecker Expressions For Multiple Output Functions
 In Int'l Symp. Circ. and Systems
, 1998
"... Pseudo Kronecker Expressions (PSDKROs) are a class of AND/EXOR expressions. For a Boolean function with a given variable order the minimal PSDKRO can be derived efficiently using Decision Diagram (DD) techniques. The quality, i.e., the number of products in the expression, of the result is known to ..."
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Cited by 2 (1 self)
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Pseudo Kronecker Expressions (PSDKROs) are a class of AND/EXOR expressions. For a Boolean function with a given variable order the minimal PSDKRO can be derived efficiently using Decision Diagram (DD) techniques. The quality, i.e., the number of products in the expression, of the result is known
Large margin methods for structured and interdependent output variables
 JOURNAL OF MACHINE LEARNING RESEARCH
, 2005
"... Learning general functional dependencies between arbitrary input and output spaces is one of the key challenges in computational intelligence. While recent progress in machine learning has mainly focused on designing flexible and powerful input representations, this paper addresses the complementary ..."
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Cited by 624 (12 self)
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Learning general functional dependencies between arbitrary input and output spaces is one of the key challenges in computational intelligence. While recent progress in machine learning has mainly focused on designing flexible and powerful input representations, this paper addresses
Compact SOP Representations for MultipleOutput Functions  An Encoding Method using MultipleValued Logic 
, 2001
"... This paper shows a method to represent a multipleoutput function: Encoded characteristic function for nonzero outputs (ECFN). The ECFN uses (n + u) binary variables to represent an ninput moutput function, where u = dlog 2 me. The size of the sumofproducts expressions (SOPs) depends on the enc ..."
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Cited by 10 (8 self)
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show the usefulness of the method. Index term: Multipleoutput function, encoding problem, multiplevalued logic, TDM, SOP, characteristic function. 1.
Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods
 ADVANCES IN LARGE MARGIN CLASSIFIERS
, 1999
"... The output of a classifier should be a calibrated posterior probability to enable postprocessing. Standard SVMs do not provide such probabilities. One method to create probabilities is to directly train a kernel classifier with a logit link function and a regularized maximum likelihood score. Howev ..."
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Cited by 1051 (0 self)
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The output of a classifier should be a calibrated posterior probability to enable postprocessing. Standard SVMs do not provide such probabilities. One method to create probabilities is to directly train a kernel classifier with a logit link function and a regularized maximum likelihood score
Results 1  10
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82,295