This work represents an initial attempt to move beyond “single-shot” summarization to interactive summarization. We present an extension to the classic Maximal Marginal Relevance (MMR) algorithm that places a user “in the loop” to assist in candidate selection. Experiments in the complex interactive Question Answering (ciQA) task at TREC 2007 show that interactively-constructed responses are si...

We study an interactive model of supervised clustering introduced by Balcan and Blum [7], where the clustering algorithm has query access to a teacher. We give an efficient algorithm clustering linear functionals over finite fields, which implies the learnability of parity functions in this model. We also present an efficient clustering algorithm for hyperplanes which are a natural generalizati...

In computer vision and object recognition, effective and efficient image segmentation is an important task. This paper presents an Interactive Segmentation of Medical Images. Since fully automatic image segmentation is usually very hard for natural and medical images, interactive schemes with a few simple user inputs are good solutions. The users only need to roughly indicate the location and r...

Traditional vegetation landscape spatial hierarchical planning system is faced with huge and complex real data, because its throughput too low to get more accurate this paper proposes a rural road ecological based on interactive genetic algorithm. In the hardware design of system, structure distribution ZingRDK feature extraction mainly designed, functions parameters chip HDMI interface in are ...

Recently, learning-based image inpainting has gained much attention. It widely utilizes an auto-encoder structure and can obtain compact feature representation in the encoder to achieve high-quality inpainting. Although this approach achieved encouraging results, it inevitably reduces high-resolution due interval downsampling. In order solve problem excellent effect, paper proposes a brand-new ...