نتایج جستجو برای: instance reduction ir

تعداد نتایج: 629601  

1997
Daniela Peterhof

In applications, solitary-wave solutions of semilinear elliptic equations u + g(u; ru) = 0 (x; y) 2 IR in innnite cylinders frequently arise as travelling waves of parabolic equations. As such, their bifurcations are an interesting issue. Interpreting elliptic equations on innnite cylinders as dynamical systems in x has proved very useful. Still, there are major obstacles in obtaining, for inst...

2002
G. Benet F. Blanes J. E. Simó P. Pérez

9 The amplitude response of infrared (IR) sensors based on reflected amplitude of the surrounding objects is non-linear and depends on the reflectance characteristics of the object surface. As a result, the main use of IR sensors in robotics is for obstacle avoidance. Nevertheless, their inherently fast response is very attractive for enhancing the real-time operation of a mobile robot in, for ...

2007
Manuel Flury Ruben Merz Jean-Yves Le Boudec

Wireless sensor networks are ideally built on low-cost, low-complexity nodes that have a low power consumption to guarantee a long network lifetime. These are all properties that can potentially be achieved with impulse radio ultra-wide band (IR-UWB). In addition, IR-UWB has a fine timing resolution enabling accurate ranging and localization capabilities. For all these reasons, IR-UWB is an ext...

Journal: :Endocrinology 1998
C Ohlsson N Kley H Werner D LeRoith

The insulin-like growth factor-I receptor (IGF-IR) is involved in tumorigenesis. The aim of the present study was to investigate whether the IGF-IR is a physiological target for p53 in osteosarcoma cells. The p53-induced regulation of IGF-IR levels was studied in a tetracycline-regulated expression system. When expressed in Saos-2, osteosarcoma cells that lack p53, wild-type p53 decreased, wher...

2012
Veronika Cheplygina David M. J. Tax Marco Loog

Multiple Instance Learning (MIL) is concerned with learning from sets (bags) of feature vectors (instances), where the individual instance labels are ambiguous. In MIL it is often assumed that positive bags contain at least one instance from a so-called concept in instance space, whereas negative bags only contain negative instances. The classes in a MIL problem are therefore not treated in the...

A DIZAGI, B GOLIAEI, K NAYERNIA, R JALAL,

The insulin-like growth factor I receptor (IGF-IR) plays an essential role in the establishment and maintenance of transformed phenotype. Interference with the IGF-IR pathway by antisense causes reversal of the transformed phenotype in many rodent and human tumor cell lines. We stably transfected the PC-3 human prostate cancer cell line with an IGF-IR antisense RNA expression plasmid. The ...

Journal: :Journal of Visual Communication and Image Representation 2021

Instance search is an interesting task as well a challenging issue due to the lack of effective feature representation. In this paper, instance level representation built upon fully convolutional instance-aware segmentation proposed. The ROI-pooled from segmented region. So that instances in various sizes and layouts are represented by deep features uniform length. This further enhanced use def...

2018
Krzysztof C Lewandowski Justyna Płusajska Wojciech Horzelski Ewa Bieniek Andrzej Lewiński

BACKGROUND Though insulin resistance (IR) is common in polycystic ovary syndrome (PCOS), there is no agreement as to what surrogate method of assessment of IR is most reliable. SUBJECTS AND METHODS In 478 women with PCOS, we compared methods based on fasting insulin and either fasting glucose (HOMA-IR and QUICKI) or triglycerides (McAuley Index) with IR indices derived from glucose and insuli...

2001
Sanghun Kim Youngjik Lee Keikichi Hirose

A new method of pruning redundant synthesis unit instances in a large-scale synthesis database was proposed based on weighted vector quantization (WVQ). WVQ takes relative importance of each instance into account when clustering the similar instances using vector quantization (VQ) technique. The proposed method was compared with two conventional pruning methods through objective and subjective ...

2012
Fadime Sener Cagdas Bas Nazli Ikizler-Cinbis

We propose a multi-cue based approach for recognizing human actions in still images, where relevant object regions are discovered and utilized in a weakly supervised manner. Our approach does not require any explicitly trained object detector or part/attribute annotation. Instead, a multiple instance learning approach is used over sets of object hypotheses in order to represent objects relevant...

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