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See What You Want to See: Motivational Influences on Visual Perception,”
 Journal of Personality and Social Psychology,
, 2006
"... People's motivational statestheir wishes and preferencesinfluence their processing of visual stimuli. In 5 studies, participants shown an ambiguous figure (e.g., one that could be seen either as the letter B or the number 13) tended to report seeing the interpretation that assigned them to o ..."
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Cited by 79 (1 self)
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of motivational states on perception by focusing on interpretations of ambiguous or reversible figuresvisual stimuli, like the famous Necker cube, that people can interpret in two different ways but for which they tend to see only one interpretation at any given time In each of five studies, we told
Evolution of Cooperative ProblemSolving in an Artificial Economy
, 2000
"... We address the problem of how to reinforcement learn in ultracomplex environments, with huge state spaces, where one must learn to exploit compact structure of the problem domain. The approach we propose is to simulate the evolution of an artificial economy of computer programs. The economy is cons ..."
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Cited by 14 (1 self)
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is constructed based on two simple principles so as to assign credit to the individual programs for collaborating on problem solutions. We find empirically that, starting from programs that are random computer code, we are able to evolve systems that solve hard problems. In particular our economy as learned
RAVEN, a New Software for Dynamic Risk Analysis
"... Abstract: RAVEN is a generic software driver to perform parametric and probabilistic analysis of code simulating complex systems. Initially developed to provide dynamic risk analysis capabilities to the RELAP7 code, [1] RAVEN capabilities are currently being extended by adding Application Programmi ..."
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Carlo, Grid strategies, or Latin Hyper Cube schemes, but its strength is its focus toward system feature discovery, such as limit surfaces, separating regions of the input space leading to system failure, using dynamic supervised learning techniques. The paper will present an overview of the
CS 468 – Winter 2004 Group Theory Afra Zomorodian Q: What’s purple and commutes?
"... Last lecture, we learned about a combinatorial method for characterizing spaces: using simplicial complexes as triangulations of the spaces. We also showed how the connectivity of compact 2manifolds is fully characterized by an invariant, the Euler characteristic, that may be computed using any tri ..."
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and applicable to questions in many theoretical fields such as quantum physics and crystallography, as well as questions in practical fields, such as establishing bar codes for products, serial numbers on currency, or solving Rubik’s Magic cube. For us, the theory provides powerful tools to define equivalence
Computational Topology Group Theory Afra Zomorodian 4 Group Theory
"... — Anonymous Last lecture, we learned about a combinatorial method for characterizing spaces: using simplicial complexes as triangulations of the spaces. We also showed how the connectivity of compact 2manifolds is fully characterized by an invariant, the Euler characteristic, that may be computed u ..."
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is fundamental and applicable to questions in many theoretical fields such as quantum physics and crystallography, as well as questions in practical fields, such as establishing bar codes for products, serial numbers on currency, or solving Rubik’s Magic cube. For us, the theory provides powerful tools to define
A review of visual memory capacity: Beyond individual items and toward structured representations.
, 2011
"... Traditional memory research has focused on identifying separate memory systems and exploring different stages of memory processing. This approach has been valuable for establishing a taxonomy of memory systems and characterizing their function but has been less informative about the nature of store ..."
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Cited by 29 (1 self)
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paradigms that focused on the precision of memory representations have suggested an informationlimited model. Specifically, This result was not due to an inability to discriminate the more complex shapes, such as 3D cubes: observers could easily detect a change between cubes when only a single cube
und Computeralgebra (CDC) Algebraic methods in analyzing lightweight cryptographic symmetric primitives
"... Algebraic methods in analyzing ..."
Akademisk avhandling för teknisk doktorsexamen vid
, 1994
"... mcmxciv This thesis deals with combinatorics in connection with Coxeter groups, finitely generated but not necessarily finite. The representation theory of groups as nonsingular matrices over a field is of immense theoretical importance, but also basic for computational group theory, where the group ..."
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mcmxciv This thesis deals with combinatorics in connection with Coxeter groups, finitely generated but not necessarily finite. The representation theory of groups as nonsingular matrices over a field is of immense theoretical importance, but also basic for computational group theory, where the group elements are data structures in a computer. Matrices are unnecessarily large structures, and part of this thesis is concerned with small and efficient representations of a large class of Coxeter groups (including most Coxeter groups that anyone ever payed any attention to.) The main contents of the thesis can be summarized as follows. • We prove that for all Coxeter graphs constructed from an npath of unlabelled edges by adding a new labelled edge and a new vertex (sometimes two new edges and vertices), there is a permutational representation of the corresponding group. Group elements correspond to integer nsequences and the nodes in the path generate all n! permutations. The extra node has a more complicated action, adding a certain quantity to some of the numbers.
unknown title
"... Abstract  For centuries people have aspired to understand and control the functions of the mind and brain. It has now become possible to image the functioning of the human brain in real time using functional MRI (fMRI), and thereby to access both sides of the mindbrain interface subjective exper ..."
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computer interfaces, communicating with lockedin patients, lie detection, and learning control over brain activation to modulate cognition or even treat disease. From the times of the ancient philosophers through to the modern pursuits of cognitive neuroscience and neurology, it has been a human passion
RICE UNIVERSITY Regime Change: Sampling Rate vs. BitDepth in Compressive Sensing
, 2011
"... The compressive sensing (CS) framework aims to ease the burden on analogtodigital converters (ADCs) by exploiting inherent structure in natural and manmade signals. It has been demonstrated that structured signals can be acquired with just a small number of linear measurements, on the order of t ..."
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The compressive sensing (CS) framework aims to ease the burden on analogtodigital converters (ADCs) by exploiting inherent structure in natural and manmade signals. It has been demonstrated that structured signals can be acquired with just a small number of linear measurements, on the order of the signal complexity. In practice, this enables lower sampling rates that can be more easily achieved by current hardware designs. The primary bottleneck that limits ADC sampling rates is quantization, i.e., higher bitdepths impose lower sampling rates. Thus, the decreased sampling rates of CS ADCs accommodate the otherwise limiting quantizer of conventional ADCs. In this thesis, we consider a different approach to CS ADC by shifting towards lower quantizer bitdepths rather than lower sampling rates. We explore the extreme case where each measurement is quantized to just one bit, representing its sign. We develop a new theoretical framework to analyze this extreme case and develop new algorithms for signal reconstruction from such coarsely quantized measurements. The 1bit CS framework leads us to scenarios where it may be more appropriate to reduce bitdepth instead of sampling rate. We find that there exist two distinct regimes of operation that correspond to high/low signaltonoise ratio (SNR). In the measurement
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