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We will develop and implement new algorithms for constraint solving and apply them to construct two classes of tools: 1) bug finding and verification tools building on tools such as Java PathFinder and Jahob; 2) tools for deep semantic analysis of texts co ...
This paper proposes a tree-based pursuit algorithm that efficiently trades off complexity and approximation performance for overcomplete signal expansions. Finding the sparsest representation of a signal using a redundant dictionary is, in general, a NP-Ha ...
Nous présentons un modèle itératif inspiré du modèle CIFS (Controlled Iterative Function System) de PRUSINKIEWICZ [PH94] - encore appelé RIFS (Recurrent Iterative Function System) par BARNSLEY ou MRIFS (Mutually Recursive Iterative Function System) par CUL ...
In time series analysis state-space models provide a wide and flexible class. The basic idea is to describe an unobservable phenomenon of interest on the basis of noisy data. The first constituent of such a model is the so-called state equation, which char ...
This paper proposes a tree-based pursuit algorithm that efficiently trades off complexity and approximation performance for overcomplete signal expansions. Finding the sparsest representation of a signal using a redundant dictionary is, in general, a NP-Ha ...
Autoregressive modeling is applied for approximating the temporal evolution of spectral density in critical-band-sized sub-bands of a segment of speech signal. The generalized autocorrelation linear predictive technique allows for a compromise between fitt ...
Autoregressive modeling is applied for approximating the temporal evolution of spectral density in critical-band-sized sub-bands of a segment of speech signal. The generalized autocorrelation linear predictive technique allows for a compromise between fitt ...
Hierarchical Algebraic Nets (HANs ) presented here introduce a new algebraic net class which inherits from a five years experience on algebraic nets corresponding to the work done on the specification formalism CO-OPN [BG 91a]. These works has led to a com ...
We show that several applications considered in the context of Hoo filtering and game theory, risk sensitive control and estimation, follow as special cases of the Krein space Kalman filter. We show that these problems can be cast into the problem of calcu ...
The authors develop a self-contained theory for linear estimation in Krein spaces. The derivation is based on simple concepts such as projections and matrix factorizations and leads to an interesting connection between Krein space projection and the recurs ...
