Previously, we developed a sparseness-goaled decon method. Here we test it on six data sets. None showed the unfortunate phase-shift we always see with minimum-phase decon. None showed the polarity reversals or time shifts that perplexed our earlier work. Results on all six data sets enhance polarity visibility. We had expected to see sparseness decon limit the bandwidth in some natural way unl...

English. Automatic detection of irony is one of the hot topics for sentiment analysis, as it changes the polarity of text. Most of the work has been focused on the detection of figurative language in Twitter data due to relative ease of obtaining annotated data, thanks to the use of hashtags to signal irony. However, irony is present generally in natural language conversations and in particular...

Sensory information undergoes substantial transformation along sensory pathways, usually encompassing sparsening of activity. In the olfactory bulb, though natural odorants evoke dense glomerular input maps, mitral and tufted (M/T) cells tuning is considered to be sparse because of highly odor-specific firing rate change. However, experiments used to draw this conclusion were either based on re...

Locality information is crucial in datasets where each variable corresponds to a measurement in a manifold (silhouettes, motion trajectories, 2D and 3D images). Although these datasets are typically under-sampled and high-dimensional, they often need to be represented with low-complexity statistical models, which are comprised of only the important probabilistic dependencies in the datasets. Mo...

Sexual ornaments are often assumed to be indicators of mate quality. Yet it remains poorly known how certain ornaments are chosen before any coevolutionary race makes them indicative. Perceptual biases have been proposed to play this role, but known biases are mostly restricted to a specific taxon, which precludes evaluating their general importance in sexual selection. Here we identify a poten...

Suppose that A ∈ RN×N is symmetric positive semidefinite with rank K ≤ N . Our goal is to decompose A into K rank-one matrices ∑K k=1 gkg T k where the modes {gk} K k=1 are required to be as sparse as possible. In contrast to eigen decomposition, these sparse modes are not required to be orthogonal. Such a problem arises in random field parametrization where A is the covariance function and is ...

This paper illustrates the idea of parallel distributed parsing (PDP), which allows us to integrate lexical and sublexical analyses. PDP is proposed for providing a new model of efficient, information-rich parses that can remedy the data sparseness problem.

Abbreviations in Chinese are widely observed in Chinese spoken language. Automatic generation of Chinese abbreviations helps to improve Chinese natural language understanding systems and Chinese search engine. The abbreviation generation is treated as a character-based tagging problem. Due to limited training data, Chinese abbreviation generation suffers from data sparseness. Two types of strat...

Neurons in sensory cortex show stimulus selectivity and sparse population response, even in cases where no strong functionally specific structure in connectivity can be detected. This raises the question whether selectivity and sparseness can be generated and maintained in randomly connected networks. We consider a recurrent network of excitatory and inhibitory spiking neurons with random conne...