نتایج جستجو برای: siamese fighting fish
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A Siamese Deep Forest (SDF) is proposed in the paper. It is based on the Deep Forest or gcForest proposed by Zhou and Feng and can be viewed as a gcForest modification. It can be also regarded as an alternative to the well-known Siamese neural networks. The SDF uses a modified training set consisting of concatenated pairs of vectors. Moreover, it defines the class distributions in the deep fore...
Fighting fish species in the genus Betta are found in several Southeast Asian countries. Depending on the mode of paternal care for fertilized eggs and hatchlings, various species of the betta fish are classified as mouth brooders or nest builders whose members in turn have been grouped according to their similarities mainly in morphology. The mouth brooders as well as some nest builders involv...
I. Effects of Reserpine and Hydralazine on Carotid and Splanchnic Nerve Activity and Blood Pressure. A. S. Dontas 1 II. Action and Metabolism of Chiorpromazine Sulfoxide in Man. John C. Davidson, Luther L. Terry and Albert Sjoerdsma 8 III. Differentiation Between Receptors for Serotonin and Tryptamine by Means of the Exquisite Specificity of Antimetabolites. D. W. Woolley andE.Shaw 13 IV. A Qua...
Most fish breathe water with their gills, but a surprising number of can inhale air directly. Even common household pets such as Siamese fighting (betta fish, Betta splendens) at the surface, so they live in tiny bowls without filters or aeration. The Alaskan blackfish (Dallia pectoralis) shares this superpower. A modified esophagus lets them ‘surface breathe’, get oxygen even stagnant and mudd...
In this study, we developed an off-topic response detection system to be used in the context of the automated scoring of nonnative English speakers’ spontaneous speech. Based on transcriptions generated from an ASR system trained on non-native speakers’ speech and various semantic similarity features, the system classified each test response as an on-topic or off-topic response. The recent succ...
In this paper we describe learning of a descriptor based on the Siamese Convolutional Neural Network (CNN) architecture and evaluate our results on a standard patch comparison dataset. The descriptor learning architecture is composed of an input module, a Siamese CNN descriptor module and a cost computation module that is based on the L2 Norm. The cost function we use pulls the descriptors of m...
Chlamydiosis, caused by Chlamydiaceae, is a zoonotic disease found in humans and several species of animals, including reptiles and amphibians. Although chlamydiosis in saltwater crocodiles has been previously reported in South Africa and Papua New Guinea, the reported strains have not been identified or confirmed. Therefore, the main aim of this study was to sequence and characterize Chamydiac...
This paper presents our Complex Answer PAragraph Retrieval (CAPAR) system designed for our participation in the TREC Complex Answer Retrieval (CAR) track. Because we were provided with a massive training set consisting of complex questions as well as the paragraphs that answered each aspect of the complex question, we cast the paragraph ranking as a learning to rank (L2R) problem, such that we ...
In deep learning, auxiliary modules for model training have become increasingly popular, such as Deep Mutual Learning (DML) and Multi-Scale Dense Convolutional Networks (MSDNet), which can maximize the performance of without increasing amount test computation. Nevertheless, current research does not fully exploit knowledge between different modules. This paper proposes a new technique–Siamese L...
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