نتایج جستجو برای: composite kernels

تعداد نتایج: 137874  

Journal: :علوم باغبانی 0
افشاری افشاری طلایی طلایی صادقی صادقی

abstract to study the effects of xenia and methaxenia on the pistachio nut, 4 male genotypes from among all male genotypes provided by rafsanjan pistachio research institute were selected. the flowering period of the chosen genotypes was the same as 3 female cultivars of kalleghoochi, ohadi, and ahmadaghaii. by using split plot in the form of completely randomized blocks design, we conducted va...

Journal: Journal of Nuts 2018

Iran has suitable conditions for cultivating high-quality varieties of hazelnuts (Corylus avellana L.). Most of hazelnut orchards in Iran have been established by planting native genotypes. Aspergillus flavus Link. (AF) is a filamentous fungus affecting hazelnut kernels in orchards and during storage conditions. The most widely explored strategy for reducing aflatoxin contamin...

2012
Nickolas G. Kavallieratos Christos G. Athanassiou Frank H. Arthur James E. Throne

Tests were conducted to determine whether the lesser grain borer, Rhyzopertha dominica (F.) (Coleoptera: Bostrychidae), selects rough rice (Oryza sativa L. (Poales: Poaceae)) kernels with cracked hulls for reproduction when these kernels are mixed with intact kernels. Differing amounts of kernels with cracked hulls (0, 5, 10, and 20%) of the varieties Francis and Wells were mixed with intact ke...

2010
Sreekanth Vempati Andrea Vedaldi Andrew Zisserman C. V. Jawahar

These kernels combine the benefits of two other important classes of kernels: the homogeneous additive kernels (e.g. the χ2 kernel) and the RBF kernels (e.g. the exponential kernel). However, large scale problems require machine learning techniques of at most linear complexity and these are usually limited to linear kernels. Recently, Maji and Berg [2] and Vedaldi and Zisserman [4] proposed exp...

Journal: :Pattern Recognition 2014
Takumi Kobayashi

For improving the classification performance on the cheap, it is necessary to exploit both labeled and unlabeled samples by applying semi-supervised learning methods, most of which are built upon the pairwise similarities between the samples. While the similarities have so far been formulated in a heuristic manner such as by k-NN, we propose methods to construct similarities from the probabilis...

2007
Guodong Zhou Min Zhang Dong-Hong Ji Qiaoming Zhu

This paper proposes a tree kernel with contextsensitive structured parse tree information for relation extraction. It resolves two critical problems in previous tree kernels for relation extraction in two ways. First, it automatically determines a dynamic context-sensitive tree span for relation extraction by extending the widely-used Shortest Path-enclosed Tree (SPT) to include necessary conte...

Journal: :CoRR 2016
Dinesh Govindaraj

Object Categorization is a challenging problem, especially when the images have clutter background, occlusions or different lighting conditions. In the past, many descriptors have been proposed which aid object categorization even in such adverse conditions. Each descriptor has its own merits and de-merits. Some descriptors are invariant to transformations while the others are more discriminati...

Journal: :علوم باغبانی 0
مهدی محمدی مقدم عادله سبحانی پور حسین حکم آبادی

abstract in order to investigate correlation between the rate (amount) of micro and macro elements and protein percentage in pistachio kernels of six cultivar including: akbari, abbasali, kaleh gouchi, ahmadaghaie, ouhadi and khanjari with aspergillus flavus growth and aflatoxin b1 production, the amount of micro and macro elements were measured using atomic absorption, micro-kjeldhal digestion...

Journal: :NeuroImage 2011
Eduardo Castro Manel Martínez-Ramón Godfrey D. Pearlson Jing Sui Vince D. Calhoun

Pattern classification of brain imaging data can enable the automatic detection of differences in cognitive processes of specific groups of interest. Furthermore, it can also give neuroanatomical information related to the regions of the brain that are most relevant to detect these differences by means of feature selection procedures, which are also well-suited to deal with the high dimensional...

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