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Micro architectural Design Space Exploration Using An Architecture-Centric Approach
- in MICRO
, 2007
"... The microarchitectural design space of a new processor is too large for an architect to evaluate in its entirety. Even with the use of statistical simulation, evaluation of a single configuration can take excessive time due to the need to run a set of benchmarks with realistic workloads. This paper ..."
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Cited by 30 (8 self)
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also evaluate the cost of off-line learning and show that we can still achieve a high level of accuracy when using just 5 benchmarks to train. Finally, we analyse our design space and show how different microarchitectural parameters can affect the cycles, energy and energy-delay of the architectural
Why it is so hard to predict our partner’s product preferences: The effect of target familiarity on prediction accuracy
- Journal of Consumer Research
, 2006
"... Many buying decisions require predictions of another person’s product attitudes. Yet, consumers are often inaccurate predictors, even for familiar others. We provide strong evidence that target familiarity can even hurt accuracy in the presence of attitude feedback. Although overprojection and lack ..."
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Cited by 4 (1 self)
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Many buying decisions require predictions of another person’s product attitudes. Yet, consumers are often inaccurate predictors, even for familiar others. We provide strong evidence that target familiarity can even hurt accuracy in the presence of attitude feedback. Although overprojection and lack
1A Language for Describing Predictors and its Application to Automatic Synthesis
"... As processor architectures have increased their reliance on speculative execution to improve performance, the importance of accurate prediction of what to execute speculatively has increased. Furthermore, the types of values predicted have expanded from the ubiquitous branch and call/return targets ..."
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and feedback process. This notation allows one to describe a wide variety of predictors in a uniform way. It also facilitates the use of an efficient search technique called genetic programming, which is loosely modeled on the natural evolutionary process, to explore the design space. In this paper we describe
A Comparative Study between Genetic Algorithms and Line Search Algorithm Optimization for HIV Predictions
"... Abstract:- Neural Networks are used as pattern recognition tools in data mining to classify HIV status of individuals based on demographic and socio-economic characteristics. The data consists of seroprevalence survey information and contains variables such as age, education, location, race, parity ..."
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and gravidity. The multilayer perceptron (MLP) neural network architecture was used for this study since as preliminary design showed this architecture to be the most optimal. The design of classifiers involves the assessment of classification performance, and this is based on the accuracy of the prediction
C Gomila, Motion compensation based on implicit block segmentation
- IEEE International Conference on Image Processing (ICIP-08
, 2008
"... Block-based motion and disparity compensation are popular tech-niques to exploit correlation between video frames. Block sizes used for compensation can be chosen to achieve a good trade-off between signaling overhead and prediction accuracy. However, motion field boundaries correspond to objects ha ..."
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Cited by 5 (0 self)
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having arbitrary shapes; this limits the accuracy of block-based compensation, even when small block sizes are chosen. In this paper we seek to enable compensation based on arbitrarily-shaped regions, while preserving an essentially block-based compensation architecture. To do so, we propose tools
Combining Modality Specific Deep Neural Networks for Emotion Recognition in Video
- In ICMI ’13
"... In this paper we present the techniques used for the Uni-versity of Montréal’s team submissions to the 2013 Emotion Recognition in the Wild Challenge. The challenge is to clas-sify the emotions expressed by the primary human subject in short video clips extracted from feature length movies. This in ..."
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Cited by 8 (1 self)
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using two large data sets, the Toronto Face Database and our own set of faces images harvested from Google image search, followed by a per frame aggregation strategy that used the challenge train-ing data. This yielded a test set accuracy of 35.58%. Using our best strategy for aggregating our top
1. REPORT DATE (DD-MM-YYYY) 4. TITLE AND SUBTITLE
"... The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comm ..."
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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send
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