The huge amount of information stored in text form makes methods that deal with texts really interesting. This thesis focuses on dealing with texts using compression distances. More specifically, the thesis takes a small step towards understanding both the nature of texts and the nature of compression distances. Broadly speaking, the way in which this is done is exploring the effects that several distortion techniques have on one of the most successful distances in the family of compression distances, the Normalized Compression Distance -NCD-
We present the MT-NCD and MT-mNCD machine translation evaluation metrics as submission to the machin...
Normalized information distance (NID) uses the theoretical notion of Kolmogorov complexity, which fo...
The paper discusses the application of a similarity metric based on compression to the measurement o...
Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior. Departamento d...
Facing a deluge of digital records, law enforcement needs advanced data sorting systems. This projec...
We have applied the generalised and universal distance measure NCD—Normalised Compression Distance—t...
The increasing use of computers for document preparation and publishing coupled with a growth in the...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-87448-5_8Proc...
his paper investigates the usefulness of the normalized compression distance (NCD) for image similar...
Normalized information distance (NID) uses the theoretical notion of Kolmogorov complexity, which fo...
The normalized information distance is a universal distance measure for objects of all kinds. It is ...
AbstractNormalized information distance (NID) uses the theoretical notion of Kolmogorov complexity, ...
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses...
Part 4: FILESYSTEM FORENSICSInternational audienceThe first step when recovering deleted files using...
Using the mathematical background for algorithmic complexity developed by Kolmogorov in the sixties,...
We present the MT-NCD and MT-mNCD machine translation evaluation metrics as submission to the machin...
Normalized information distance (NID) uses the theoretical notion of Kolmogorov complexity, which fo...
The paper discusses the application of a similarity metric based on compression to the measurement o...
Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior. Departamento d...
Facing a deluge of digital records, law enforcement needs advanced data sorting systems. This projec...
We have applied the generalised and universal distance measure NCD—Normalised Compression Distance—t...
The increasing use of computers for document preparation and publishing coupled with a growth in the...
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-540-87448-5_8Proc...
his paper investigates the usefulness of the normalized compression distance (NCD) for image similar...
Normalized information distance (NID) uses the theoretical notion of Kolmogorov complexity, which fo...
The normalized information distance is a universal distance measure for objects of all kinds. It is ...
AbstractNormalized information distance (NID) uses the theoretical notion of Kolmogorov complexity, ...
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses...
Part 4: FILESYSTEM FORENSICSInternational audienceThe first step when recovering deleted files using...
Using the mathematical background for algorithmic complexity developed by Kolmogorov in the sixties,...
We present the MT-NCD and MT-mNCD machine translation evaluation metrics as submission to the machin...
Normalized information distance (NID) uses the theoretical notion of Kolmogorov complexity, which fo...
The paper discusses the application of a similarity metric based on compression to the measurement o...