Lecture Notes on Nonlinear Systems and Control

Chapter 1 Introduction 1.1 Main Concepts When engineers analyze and design nonlinear dynamical systems in elec-trical circuits, mechanical systems, control systems, and …

  Chapter, Nonlinear

NTIRE 2017 Challenge on Single Image Super-Resolution ...

aeirikur@vision.ee.ethz.ch Radu Timofte CVL, ETH Zurich & Merantix GmbH radu.timofte@vision.ee.ethz.ch Abstract This paper introduces a novel large dataset for example-based single image super-resolution and studies the state-of-the-art as emerged from the NTIRE 2017 challenge. The challenge is the rst challenge of its kind, with 6 compe-

Explainable Artificial Intelligence (XAI)

(discriminative features of the image) with . class definitions (image-independent discriminative features of the class ) A group of people shopping at an outdoor market . There are many vegetables at the fruit stand . Generating Image Captions Generating Visual Explanations Limitations • Limited (indirect at best) explanation of internal logic

  Feature, Discriminative, Discriminative features

ArcFace: Additive Angular Margin Loss for Deep Face ...

obtain highly discriminative features for face recognition. The proposed ArcFace has a clear geometric interpreta-tion due to its exact correspondence to geodesic distance on a hypersphere. We present arguably the most extensive experimental evaluation against all recent state-of-the-art face recognition methods on ten face recognition bench-

  Feature, Discriminative, Discriminative features

Learning RoI Transformer for Oriented Object Detection in ...

instances and enables to better extract discriminative features for object detection. often approached by an oriented and densely packed ob-ject detection task [37, 31, 12], which is new while well-grounded and have attracted much attention in the past decade [27, 30, 26, 18, 1]. Many of recent progress on object detection in aerial im-

  Feature, Discriminative, Discriminative features

Object Detection with Discriminatively Trained Part Based ...

a discriminative procedure that only requires bounding boxes for the objects in a set of images. The resulting system is both efficient and accurate, achieving state-of- ... [10] or bag-of-features [44]. One of the goals of our work is to address this performance gap.

  Feature, With, Part, Trained, Object, Detection, Discriminative, Object detection with discriminatively trained part, Discriminatively

Verbal Behavior Milestones Assessment and Placement ...

discriminative stimuli Extinction • Reinforcement no longer happens • Behavior fades . 7/28/2016 7 Verbal Behavior ... 4 10 Imitate prosodic features: Syllable stress 5 5 Pitch, loudness, vowel duration Total: 100 EESA: Early Echoic Skills Assessment . 7/28/2016 19

  Feature, Discriminative

Abstract - arXiv

features to mutually reinforce to acquire more compact target representations, as shown in Figure2. These en-coded high-quality features further benefit the tracking model generation. • Transformer Decoder. It conveys valuable temporal information across frames. As shown in Figure2, our decoder simultaneously transfers features and spatial ...

  Feature

HOW POWERFUL ARE GRAPH NEURAL NETWORKS

the discriminative power of popular GNN variants, such as Graph Convolutional Networks and GraphSAGE, and show that they cannot learn to distinguish certain simple graph structures. We then develop a simple architecture that is provably the most expressive among the class of GNNs and is as powerful as the Weisfeiler-Lehman graph isomorphism test.

  Discriminative