I consider how structure is derived from texture containing changes in orientation over space, and propose that multi-local orientation variance (the average orientation variance across a series of discrete images locales) is an estimate of the degree of organization that is useful both for spatial scale selection and for discriminating structure from noise. The oriented textures used in this p...

The end-to-end aspect-based sentiment analysis (ABSA) task remains to be a long-standing challenge, which aims extract the aspect term and then identify its orientation. In previous approaches, explicit syntactic structure of sentence, reflects syntax properties natural language hence is intuitively crucial for extraction recognition, insufficiently modeled. this paper, we thus propose novel de...

Numerous studies have found that prolonged exposure to grating stimuli reduces sensitivity to subsequently presented gratings, most evidently when the orientations of the adapting and test patterns are similar. The rate of sensitivity loss varies with angular difference indicating both the presence and bandwidths of psychophysical 'orientation channels'. Here we study the orientation dependency...

The response of neurons in the primary visual cortex to an optimally oriented grating is usually suppressed quite dramatically when a second grating of, for example, orthogonal orientation is superimposed. Such "cross-orientation suppression" has been implicated in the generation of cortical orientation selectivity and local response normalization. Until recently, little experimental evidence w...

Spirtes, Glymour and Scheines 19] formulated a Conjecture that a direct dependence test and a head-to-head meeting test would suuce to construe directed acyclic graph decompositions of a joint probability distribution (bayesian network) for which Pearl's d-separation 2] applies. This Conjecture was later shown to be a direct conse-2 MIECZYSLAW A. KLOPOTEK quence of a result of Pearl and Verma 2...

Long distance reordering remains one of the greatest challenges in statistical machine translation research as the key contextual information may well be beyond the confine of translation units. In this paper, we propose Two-Neighbor Orientation (TNO) model that jointly models the orientation decisions between anchors and two neighboring multi-unit chunks which may cross phrase or rule boundari...

Data envelopment analysis (DEA) is a mathematical programming method for calculatingefficiency of decision making units (DMU). In calculating the efficiency score of unitsthrough DEA we may come up with some efficient units. But the question is among theseefficient units which of them is better. As we know, it is possible to rank inefficient unitsthrough efficiency score; however, for ranking e...