Compstat 2006 - Proceedings in Computational Statistics: 17th Symposium Held in Rome, Italy, 2006

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Lynne Billard. Operator related to a data matrix: a surveyYves Escoufier. Factor interval data analysis and its applicationWang Huiwen, Henry M. Mok, Li Dapeng. Identifying excessively rounded or truncated dataKevin H. Knuth, J. Patrick Castle, Kevin R. Is Which model. Nicholas T. Use of latent class regression models with a random interceptto remove the effects of the overall response rating levelJay Magidson, Jeroen K. Discrete functional data analysisMasahiro Mizuta. Latent class model with two latent variables for analysis ofcount dataKazunori Yamaguchi, Naoko Sakurai, Michiko Watanabe.

Challenges concerning web data miningWolfgang Gaul. Genetic algorithms for building double threshold generalizedautoregressive conditional heteroscedastic models of timeseriesRoberto Baragona, Francesco Battaglia. Subset selection algorithm based on mutual informationMoon Y. Visiting near-optimal solutions using local search algorithmsSheldon H. Jacobson, Shane N. Hall, Laura A. The stochastics of threshold accepting: analysis of anapplication to the uniform design problemPeter Winker. Multiple group linear discriminant analysis: robustness anderror ratePeter Filzmoser, Kristel Joossens, Christophe Croux.

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Author Index. Measuring compliance of taxpayers using correspondenceanalysis: evidence from TurkeyAli Celykkaya, Huseyin Gurbuz. Multiple taxicab correspondence analysisChoulakian, V.

  • Economics and Politics of Energy (Language of Science).
  • The Japanese Trajectory: Modernization and Beyond.
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A residual from updating based approach for multiplecategorical ordinal responsesGiulio DEpifanio. A method for analysis of categorical data for robust productor process designSerkan Erdural, Gulser Koksal, and Ozlem Ilk. Implementation of textile plotNatsuhiko Kumasaka, Ritei Shibata.

Modelling multivariate count dataAristidis K. Nikoloulopoulos, Dimitris Karlis. Comparison of some approaches to clustering categorical dataRezankova H. Numerical comparison of approximations of the distributionsof statistics for multinomial homogeneity testNobuhiro Taneichi, Yuri Sekiya. Behavior of greedy sparse representation algorithms on nested supports. Download: Preprint on HAL. Recovery of nested supports by greedy sparse representation algorithms over non-normalized dictionaries.

Murray-Browne, D. Mainstone, N. Bryan-Kinns, and M. The Serendiptichord: Reflections on the collaborative design process between artist and researcher. Leonardo , 46 1 : , Feb O'Hanlon, H. Nagano and M. Using oracle analysis for decomposition-based automatic music transcription. In: M. Aramaki, M. Barthet, R. Automatic music transcription using row weighted decompositions. Learning overcomplete dictionaries with l0-sparse non-negative matrix factorisation. Hearing the shape of a room. Qin, Y. Gao, M. Plumbley, C. Parini and L. Low-rank matrix completion based malicious user detection in cooperative spectrum sensing.

Robertson and M. Synchronising sequencing software to a live drummer. Computer Music Journal , 37 2 : , Stowell, S. Musevic, J. Bonada and M. Improved multiple birdsong tracking with distribution derivative method and Markov renewal process clustering. Download: Postprint Poster. Segregating event streams and noise with a Markov renewal process model. Previous version: arXiv preprint arXiv L Sturm, B. Abdallah, H. Foster, A. A measure of statistical complexity based on predictive information with application to finite spin systems.

Physics Letters A 4 : —, Jan Also available as: arXiv preprint arXiv Download: Report. Adler, V. Emiya, M. Jafari, M. Elad, R. Gribonval and M. Audio inpainting. Barabasa, M. Sound software: Towards software reuse in audio and music research. Cleju, M. Jafari and M. Analysis-based sparse reconstruction with synthesis-based solvers. Choosing analysis or synthesis recovery for sparse reconstruction. Degara, E. Argones Rua, A. Pena, S. Torres-Guijarro, M. Davies, and M. Reliability-informed beat tracking of musical signals. Plumbley and P. The Melody Triangle: Exploring pattern and predictability in music.

Ekeus, M. Eye tracking as interface for the design of generative visual forms and patterns. Lulu Press, Edinburgh UK, pp. Fritsch, J. Ganseman and M. A comparison of two different methods for score-informed source separation. Download: Extended abstract [ Proceedings ] Data. Fujihara, A. Instrumentation-based music similarity using sparse representations. Gretsistas and M. Group Polytope Faces Pursuit for recovery of block-sparse signals. An alternating descent algorithm for the off-grid DOA estimation problem with sparsity constraints. Hedayioglu, M.

Jafari, S. Mattos, M. Denoising and segmentation of the second heart sound using matching pursuit. Dictionary learning with large step gradient descent for sparse representations. Structured sparsity for automatic music transcription.

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Group non-negative basis pursuit for automatic music transcription. Stark and M. Performance following: Real-time prediction of musical sequences without a score. Framewise heterodyne chirp analysis of birdsong. Download: Paper [ Preprint ]. Adler, M. Elad, V. Emiya, R. Gribonval, M. A reproducible research framework for audio inpainting. A constrained matching pursuit approach to audio declipping.

Dictionary learning of convolved signals. Damnjanovic, M. Davies, M. Davies, N. Degara, and M. Degara, M. Davies, A. Pena, and M. Onset event decoding exploiting the rhythmic structure of polyphonic music. Evangelista, S. Marchand, M. Plumbley and E. Sound source separation. ISBN Download: Postprint [ Final published version ]. Causal prediction of continuous-valued music features. Barchiesi, A. On the disjointness of sources in music using different time-frequency representations. A source localization approach based on structured sparsity for broadband far-field sources. Plumbley, M.

Separating sources from sequentially acquired mixtures of heart signals. Jafari, F. Coimbra and M. Blind source separation of periodic sources from sequentially recorded instantaneous mixtures. Fast dictionary learning for sparse representations of speech signals. Mailhe and M. Local optimality of dictionary learning algorithms. Bryan-Kinns and M. The medium is the message: Composing instruments and performing mappings. Download: Paper nime [ nime.

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Nesbit, M. Jafari, E. Vincent and M. Audio source separation using sparse representations. Chapter 10, pp. IGI Global, Structure-aware non-negative dictionary learning. Structure-aware dictionary learning with harmonic atoms.

COMPSTAT 2006 - Proceedings in Computational Statistics

Ophir, M. Elad, N. Bertin and M. Sequential minimal eigenvalues: An approach to analysis dictionary learning.

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Robertson, A. Real-time visual beat tracking using a comb filter matrix. Download: Paper Postprint. Learning timbre analogies from unlabelled data by multivariate tree regression. Journal of New Music Research 40 4 : , Vincent, M. Probabilistic modeling paradigms for audio source separation. Chapter 7, pp. Predictive information and Bayesian surprise in exchangeable random processes. Predictive information, multi-information, and binding information.

Malo, France, Sept. Download: Preprint k. Degara, A. Pena, M. Davies and M. Note onset detection using rhythmic structure. Gretsistas, I. Damnjanovic and M. Gradient polytope faces pursuit for large scale sparse recovery problems. A multichannel spatial compressed sensing approach for direction of arrival estimation.

Jafari, and M. A doubly sparse greedy adaptive dictionary learning algorithm for music and large-scale data. Convention Paper Jaillet, R. Plumbley and H. An l1 criterion for dictionary learning by subspace identification. The Serendiptichord: A wearable instrument for contemporary dance performance. Paper number Bryan-Kinns, M. Plumbley, Balancing predictable control with chance discovery in a wearable instrument for dancers. Talk by Tim Murray-Browne.

Plumbley, T. Blumensath, L. Daudet, R. Sparse representations in audio and music: from coding to source separation. Plumbley, A. Cichocki and R. Non-negative mixtures. Comon and C. Chapter 13, pp Academic Press, Feb Performance following: Tracking a performance without a score. Timbre remapping through a regression-tree technique.

Cross-associating unlabelled timbre distributions to create expressive musical mappings, Workshop on Applications of Pattern Analysis, August Delayed decision-making in real-time beatbox percussion classification. Journal of New Music Research , 39 3 , , Journal of New Music Research is available online at: www.

Download: Report 2M. Welburn and M. Improving the performance of pitch estimators. Information Dynamics: Patterns of expectation and surprise in the perception of music. Connection Science , 21 , , Connection Science is available online at: www. Information dynamics and the perception of temporal structure.

Mayor, N. Ruh and K. Plunkett, eds. Progress in Neural Processing, Vol. Blumensath, M. Convex optimisation for inverse problems of signals from a union of subspaces. Poster presentation, abstract only. Degara and M. Download: Report k. Plumbley and D. Towards a Musical Beat Emphasis Function. Speech denoising based on a greedy adaptive dictionary algorithm. A sparse greedy algorithm for speech signals in noise. Nesbit, E. Benchmarking flexible adaptive time-frequency transforms for underdetermined audio source separation.

Extension of sparse, adaptive signal decompositions to semi-blind audio source separation. Download: Paper [ preprint k ]. B-Keeper: experiences in drum tracking. Stark, M. Real-time chord recognition for live performance. Fast multidimensional entropy estimation by k-d partitioning. Stowell, A. Robertson, M. Plumbley, and N. Bryan-Kinns, Evaluation of live human-computer music-making: quantitative and qualitative approaches, International Journal of Human-Computer Studies 67 11 , , November Plumbley, Perception of deferred classification in real-time percussion.

Toyama and M. Using phase linearity in frequency-domain ICA to tackle the permutation problem. Estimating phase linearity in the frequency-domain ICA demixing matrix. Rendering audio using expressive MIDI. Exploring the effect of rhythmic style classification on automatic tempo estimation. Hockman, J. Bello, M. Automated rhythmic transformation of musical audio. An adaptive orthogonal sparsifying transform for speech signals. Separation of stereo speech signals based on a sparse dictionary algorithm. Plumbley and Mike E.

Speech separation using an adaptive sparse dictionary algorithm. Vincent, S. An adaptive stereo basis method for convolutive blind audio source separation. Neurocomputing 71 , , June Laurberg, M. Plumbley, L. Hansen and S. Theorems on positive data: On the uniqueness of NMF. Nesbit and M. Oracle estimation of adaptive cosine packet transforms for underdetermined audio source separation.

Oracle evaluation of flexible adaptive transforms for underdetermined audio source separation. Nishimori, S. Akaho and M. Natural conjugate gradient on complex flag manifolds for complex independent subspace analysis. Kurkova et al. Jafari and A. Audio analysis using sparse representations. The Journal of the Acoustical Society of America, , p , Abstract only.

Plumbley and N. Rhythmic analysis for real-time audio effects. Download: Paper [ preprint: pdf k ]. Characteristics of the beatboxing vocal style. Robustness and independence of voice timbre features under live performance acoustic degradations. Discourse analysis evaluation method for expressive musical interfaces.

Thiebaut, S. Abdallah, A. Robertson, N. Real time gesture learning and recognition: Towards automatic categorization. Toyama, A. Using phase linearity to tackle the permutation problem in audio source separation. Paper no: Solving the permutation problem using phase linearity and frequency correlation. Efficient Bayesian inference for harmonic models via adaptive posterior factorization. Neurocomputing 72 , , Dec Plumbley Information dynamics and temporal structure in music.

Information Dynamics. Information dynamics and temporal structure in music. Abdallah, E. Blind speech separation using space-time independent component analysis. Makino, T. Lee, H. Sawada Eds. Springer, doi: Davies, C. James, S. Plumbley eds. Springer-Verlag, Context-dependent beat tracking of musical audio.

On the use of entropy for beat tracking evaluation. Vol IV, pp IV, The role of high frequencies in convolutive blind source separation of speech signals. Convolutive blind source separation of speech signals in the low frequency bands. Audio source separation with a signal-adaptive local cosine transform. Signal Processing 87 8 , , August Akaho, S. Flag manifolds for subspace ICA problems. Geometry and manifolds for independent component analysis.

Plumbley and S. Information theory and sensory perception. In: J.

Bryant, M. Atherton, M. Collins Eds. ISBN: On polar polytopes and the recovery of sparse representations. B-Keeper: A beat-tracker for live performance. Real-time beat-tracker for live performance with drums. Audio effects for real-time performance using beat tracking. Vienna, Austria, May 5—8