Here, for the sake of modeling the HRIRs more truthfully, we consider choosing optimal time-frequency atoms from redundant dictionary to decompose this kind of signals of HRIRs and achieve better results than all the previous models.
Pocket Dictionary of Biochemistry - Taschenw?rterbuch der Biochemie (Deutsch-Englisch, Englisch-Deutsch) (P.
Birkhauser Dictionary of Human Biology - Birkhauser Worterbuch der Humanbiologie; English-German/Deutsch-English (Reuter, P., an
An explanatory dictionary on graph theory in computer science and programming and its electronic version are discussed.
Probability-Theoretic and Statistical Analysis of Dictionary Texts
Morphological Component Analysis (MCA) is a new method which takes advantage of the sparse representation of structured data in large overcomplete dictionaries to separate features in the data based on the diversity of their morphology.
We construct an example of a smooth Banach space, where the X-greedy algorithm converges not for all dictionaries and initial vectors.
We obtain two new distributions in frequency probability theory and demonstrate them, in particular, in the example of frequency dictionaries.
We show that a formula refining Zipf's law for the occurrence frequencies in frequency dictionaries can be extended to arbitrary sign objects, i.e., semiotic systems.
The condensate in the hole dimension is applied to the quantized Zipf law for frequency dictionaries (obtained earlier by the author).
Formation of Internal Lexicon in Seven- to Ten-Year-Old Children
Specificity of Internal Lexicon in Children with Deviant Behavior
Lexicon acquisition based on object-oriented behavior learning
Studies on lexicon acquisition systems are gaining attention in the search for a natural human-robot interface and a test environment to model the infant lexicon acquisition process.
Although various lexicon acquisition systems that ground words to sensory experience have been developed, existing systems have clear limitations on the ability to autonomously associate words to objects.