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spectral information
"... Abstract: This paper addresses musical sounds recognition produced by different instrument. Various architectures of back-propagation and radial basis networks were applied as classifiers and their results were compared. The musical notes used in the test processing were not presented in the previou ..."
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in the previous training session. The discrete Fourier transform vectors extracted from each segment were used as parameters, with the objective to evaluate only the magnitude of the spectral information convoyed to discriminate between musical sounds instrument. The Music Instrument Sample Database (UIOWA
Laplacian eigenmaps and spectral techniques for embedding and clustering.
- Proceeding of Neural Information Processing Systems,
, 2001
"... Abstract Drawing on the correspondence between the graph Laplacian, the Laplace-Beltrami op erator on a manifold , and the connections to the heat equation , we propose a geometrically motivated algorithm for constructing a representation for data sampled from a low dimensional manifold embedded in ..."
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Cited by 668 (7 self)
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in a higher dimensional space. The algorithm provides a computationally efficient approach to nonlinear dimensionality reduction that has locality preserving properties and a natural connection to clustering. Several applications are considered. In many areas of artificial intelligence, information
Evaluating the Accuracy of Sampling-Based Approaches to the Calculation of Posterior Moments
- IN BAYESIAN STATISTICS
, 1992
"... Data augmentation and Gibbs sampling are two closely related, sampling-based approaches to the calculation of posterior moments. The fact that each produces a sample whose constituents are neither independent nor identically distributed complicates the assessment of convergence and numerical accurac ..."
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Cited by 604 (12 self)
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accuracy of the approximations to the expected value of functions of interest under the posterior. In this paper methods from spectral analysis are used to evaluate numerical accuracy formally and construct diagnostics for convergence. These methods are illustrated in the normal linear model
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
- International Journal of Computer Vision
, 2001
"... In this paper, we propose a computational model of the recognition of real world scenes that bypasses the segmentation and the processing of individual objects or regions. The procedure is based on a very low dimensional representation of the scene, that we term the Spatial Envelope. We propose a se ..."
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Cited by 1313 (81 self)
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set of perceptual dimensions (naturalness, openness, roughness, expansion, ruggedness) that represent the dominant spatial structure of a scene. Then, we show that these dimensions may be reliably estimated using spectral and coarsely localized information. The model generates a multidimensional space
Spectral Efficiency in the Wideband Regime
, 2002
"... The tradeoff of spectral efficiency (b/s/Hz) versus energy -per-information bit is the key measure of channel capacity in the wideband power-limited regime. This paper finds the fundamental bandwidth--power tradeoff of a general class of channels in the wideband regime characterized by low, but nonz ..."
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Cited by 393 (29 self)
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The tradeoff of spectral efficiency (b/s/Hz) versus energy -per-information bit is the key measure of channel capacity in the wideband power-limited regime. This paper finds the fundamental bandwidth--power tradeoff of a general class of channels in the wideband regime characterized by low
Consensus and cooperation in networked multi-agent systems
- Proceedings of the IEEE
, 2007
"... Summary. This paper provides a theoretical framework for analysis of consensus algorithms for multi-agent networked systems with an emphasis on the role of directed information flow, robustness to changes in network topology due to link/node failures, time-delays, and performance guarantees. An ove ..."
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Cited by 807 (4 self)
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networks, and belief propagation. We establish direct connections between spectral and structural properties of complex networks and the speed of information diffusion of consensus algorithms. A brief introduction is provided on networked systems with nonlocal information flow that are considerably faster
A midbrain combinatorial code for temporal and spectral information in concurrent signals
- J. Neurophysiol
, 1999
"... temporal and spectral Information in concurrent acoustic signals. J. ..."
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Cited by 5 (1 self)
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temporal and spectral Information in concurrent acoustic signals. J.
Extracting Spectral Information from AND/OR Representations
"... Abstract Spectral information can be used for many CAD system tasks including synthesis, verification and test vector generation. AND/OR graphs are also useful for representing functions in CAD systems since they can offer advantages with respect to storage and representation of incompletely specifi ..."
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Abstract Spectral information can be used for many CAD system tasks including synthesis, verification and test vector generation. AND/OR graphs are also useful for representing functions in CAD systems since they can offer advantages with respect to storage and representation of incompletely
Auditory Localization using Spectral Information
, 1996
"... Introduction Human hearing is concerned with the perception and interpretation of sensory input to the ears. Such perception may be classified as auditory events as opposed to sound events [5-1]. A sound event is the physical phenomenon of mechanical vibration which can characterize a sound source, ..."
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Cited by 1 (0 self)
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Introduction Human hearing is concerned with the perception and interpretation of sensory input to the ears. Such perception may be classified as auditory events as opposed to sound events [5-1]. A sound event is the physical phenomenon of mechanical vibration which can characterize a sound source, while an auditory event is the brain's perception of an auditory phenomenon which may or may not be due to a sound event. The brain's auditory perception of the world around us is based on the cause-effect relationships that exist between most sound events and auditory events. The brain perceives sound sources by associating them with auditory events. Auditory function is carried out by the auditory system which culminates in the auditory cortex in the brain. 0y This work was supported by The Whitaker Foundation 2 CHAPTER 5. AUDITORY LOCALIZATION The complex electromechanical and electrochemical sign
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