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Bayesian Automatic Model Compression
IEEE Journal on Selected Topics in Signal Processing, 2020Model compression has drawn great attention in deep learning community. A core problem in model compression is to determine the layer-wise optimal compression policy, e.g., the layer-wise bit-width in network quantization. Conventional hand-crafted heuristics rely on human experts and are usually sub-optimal, while recent reinforcement learning based ...
Jiaxing Wang, Haoli Bai, Jiaxiang Wu
exaly +2 more sources
An Evaluation of Model-Based Approaches to Sensor Data Compression
IEEE Transactions on Knowledge and Data Engineering, 2013 As the volumes of sensor data being accumulated are likely to soar, data compression has become essential in a wide range of sensor-data applications. This has led to a plethora of data compression techniques for sensor data, in particular model-based ...
Hoyoung Jeung, Karl Aberer
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Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 2006
Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classifiers, and the time required to execute them at run-time, prohibits their use in applications where test sets are large (e.g. Google), where storage space is at a premium (e.g.
Cristian Bucila +2 more
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Often the best performing supervised learning models are ensembles of hundreds or thousands of base-level classifiers. Unfortunately, the space required to store this many classifiers, and the time required to execute them at run-time, prohibits their use in applications where test sets are large (e.g. Google), where storage space is at a premium (e.g.
Cristian Bucila +2 more
openaire +1 more source
Stochastic Modeling for Photoplethysmography Compression
2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020Photoplethysmography (PPG) has been widely involved in health monitoring for clinical medicine and wearable devices. To make full use of PPG signals for diagnosis and health care, raw PPG waveforms have to be stored and transmitted in a storage and power-efficient way, which is data compression.
Ke Xu 0006 +3 more
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Models for the Compressible Web
2009 50th Annual IEEE Symposium on Foundations of Computer Science, 2009Graphs resulting from human behavior (the web graph, friendship graphs, etc.) have hitherto been viewed as a monolithic class of graphs with similar characteristics; for instance, their degree distributions are markedly heavy-tailed. In this paper we take our understanding of behavioral graphs a step further by showing that an intriguing empirical ...
CHIERICHETTI, FLAVIO +4 more
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ACM Computing Surveys, 1989
The best schemes for text compression use large models to help them predict which characters will come next. The actual next characters are coded with respect to the prediction, resulting in compression of information. Models are best formed adaptively, based on the text seen so far.
Timothy C. Bell +2 more
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The best schemes for text compression use large models to help them predict which characters will come next. The actual next characters are coded with respect to the prediction, resulting in compression of information. Models are best formed adaptively, based on the text seen so far.
Timothy C. Bell +2 more
openaire +1 more source