1. Introduction In areas as diverse as earth remote sensing, astronomy, and medical imaging, image acquisition technology has undergone tremendous improvements in recent years. The vast amounts of scientific data, stored in the form of digital image libraries, are potential treasure-troves for scientific investigation and analysis. Unfortunately, advances in our ability to deal with this volume of data in an effective manner have not paralleled the hardware gains in storage technology and data gathering instruments. While special-purpose tools for particular applications exist, there is a dearth of useful general-purpose software tools and algorithms which can assist a scientist in exploring large scientific image databases. This paper pre...
With the rise of machine learning and in particular deep learning entering all different types of fi...
With the rise of machine learning and in particular deep learning entering all different types of fi...
With the rise of machine learning and in particular deep learning entering all different types of fi...
In areas as diverse as earth remote sensing, astronomy, and medical imaging, image acquisition techn...
The focus of this paper is on the detection of natural, as opposed to human-made, objects. The disti...
This paper provides an overview of our eorts to develop algorithms and systems that are able to \min...
Automated image interpretation is an important task in numerous applications ranging from security s...
This paper presents an analysis of the most common software tools (libraries and platforms) used in ...
Advances in machine learning (ML) have made it possible to automatically detect Earth science phenom...
With the growth of Internet and advances in storage technologies, spread and acquisition of images h...
Abstract. In most imaging surveys, detecting sources and classifying them in an automatic way may be...
Image mining is the application of computer-based techniques that extract and exploit information fr...
With the rise of machine learning and in particular deep learning entering all different types of fi...
Advances in image acquisition and storage technology have led to tremendous growth in very large and...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
With the rise of machine learning and in particular deep learning entering all different types of fi...
With the rise of machine learning and in particular deep learning entering all different types of fi...
With the rise of machine learning and in particular deep learning entering all different types of fi...
In areas as diverse as earth remote sensing, astronomy, and medical imaging, image acquisition techn...
The focus of this paper is on the detection of natural, as opposed to human-made, objects. The disti...
This paper provides an overview of our eorts to develop algorithms and systems that are able to \min...
Automated image interpretation is an important task in numerous applications ranging from security s...
This paper presents an analysis of the most common software tools (libraries and platforms) used in ...
Advances in machine learning (ML) have made it possible to automatically detect Earth science phenom...
With the growth of Internet and advances in storage technologies, spread and acquisition of images h...
Abstract. In most imaging surveys, detecting sources and classifying them in an automatic way may be...
Image mining is the application of computer-based techniques that extract and exploit information fr...
With the rise of machine learning and in particular deep learning entering all different types of fi...
Advances in image acquisition and storage technology have led to tremendous growth in very large and...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
With the rise of machine learning and in particular deep learning entering all different types of fi...
With the rise of machine learning and in particular deep learning entering all different types of fi...
With the rise of machine learning and in particular deep learning entering all different types of fi...