Titlebook: Innovation Networks in the German Laser Industry; Evolutionary Change, Muhamed Kudic Book 2015 Springer International Publishing Switzerlan

inchoate

Muhamed Kudicoduce fuzzy textures and distorted structures due to ignoring the semantic relevance and feature continuity of the holes region. To address this challenge, we propose a detailed depth generation model (GS-Net) equipped with a Multi-Scale Gated Holes Feature Inpainting module (MG) and a Patch-wise Sp

前奏曲

CT-angiography

事情

不規(guī)則

Muhamed Kudicputational complexity associated with metric learning increases when the number of classes is very large. In this paper, a novel localized metric learning scheme is proposed for a large multi-class extremely imbalanced face database with an imbalance ratio as high as 265:1. The Histogram of Gradient

有花

Nefarious

Muhamed Kudicputational complexity associated with metric learning increases when the number of classes is very large. In this paper, a novel localized metric learning scheme is proposed for a large multi-class extremely imbalanced face database with an imbalance ratio as high as 265:1. The Histogram of Gradient

palpitate

ideration not only the number of items in the transaction, but also the weight of these items, such as profit and price. Hence the computational complexity of this mining algorithm is higher than the traditional frequent pattern mining. Thus, one essential topic of this field is to reduce the search

Dorsal

JAMB

Muhamed Kudicto cure a given symptom set. Previous methods primarily focus on modeling the interaction between symptoms (or diseases) and herbs without explicitly considering the syndrome information. As a result, these methods only capture the coarse-grained syndrome information. In this paper, we propose a new